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CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer | 15 | eccv | 23 | 3 | 2023-06-17 00:58:27.065000 | https://github.com/JarrentWu1031/CCPL | 158 | CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer | https://scholar.google.com/scholar?cluster=4230247138141381244&hl=en&as_sdt=0,8 | 6 | 2,022 |
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression | 13 | eccv | 4 | 2 | 2023-06-17 00:58:27.277000 | https://github.com/nycu-mapl/canf-vc | 14 | Canf-vc: Conditional augmented normalizing flows for video compression | https://scholar.google.com/scholar?cluster=9828213896359812187&hl=en&as_sdt=0,21 | 2 | 2,022 |
DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta | 16 | eccv | 3 | 3 | 2023-06-17 00:58:27.489000 | https://github.com/bcmi/deltagan-few-shot-image-generation | 46 | Deltagan: Towards diverse few-shot image generation with sample-specific delta | https://scholar.google.com/scholar?cluster=13654349730598278299&hl=en&as_sdt=0,5 | 7 | 2,022 |
The Surprisingly Straightforward Scene Text Removal Method with Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis | 0 | eccv | 4 | 4 | 2023-06-17 00:58:27.701000 | https://github.com/naver/garnet | 35 | The Surprisingly Straightforward Scene Text Removal Method with Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis | https://scholar.google.com/scholar?cluster=3346268277544666601&hl=en&as_sdt=0,47 | 4 | 2,022 |
Multiview Regenerative Morphing with Dual Flows | 0 | eccv | 0 | 0 | 2023-06-17 00:58:27.914000 | https://github.com/jimtsai23/morphflow | 5 | Multiview Regenerative Morphing with Dual Flows | https://scholar.google.com/scholar?cluster=178572341855056655&hl=en&as_sdt=0,33 | 2 | 2,022 |
Custom Structure Preservation in Face Aging | 1 | eccv | 1 | 0 | 2023-06-17 00:58:28.135000 | https://github.com/guillermogotre/cusp | 15 | Custom structure preservation in face aging | https://scholar.google.com/scholar?cluster=6169634604921471229&hl=en&as_sdt=0,32 | 1 | 2,022 |
Spatio-Temporal Deformable Attention Network for Video Deblurring | 4 | eccv | 4 | 3 | 2023-06-17 00:58:28.346000 | https://github.com/huicongzhang/stdan | 36 | Spatio-Temporal Deformable Attention Network for Video Deblurring | https://scholar.google.com/scholar?cluster=3609025100424050379&hl=en&as_sdt=0,5 | 2 | 2,022 |
Unbiased Multi-Modality Guidance for Image Inpainting | 1 | eccv | 1 | 2 | 2023-06-17 00:58:28.558000 | https://github.com/yeates/MMT | 24 | Unbiased Multi-modality Guidance for Image Inpainting | https://scholar.google.com/scholar?cluster=10439991380921402413&hl=en&as_sdt=0,33 | 3 | 2,022 |
Motion Transformer for Unsupervised Image Animation | 1 | eccv | 2 | 0 | 2023-06-17 00:58:28.769000 | https://github.com/jialetao/motrans | 36 | Motion Transformer for Unsupervised Image Animation | https://scholar.google.com/scholar?cluster=16869199057816863838&hl=en&as_sdt=0,33 | 3 | 2,022 |
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer | 5 | eccv | 17 | 10 | 2023-06-17 00:58:28.980000 | https://github.com/chenyu-yang-2000/elegant | 81 | Elegant: Exquisite and locally editable gan for makeup transfer | https://scholar.google.com/scholar?cluster=6510140835920971269&hl=en&as_sdt=0,5 | 3 | 2,022 |
Editing Out-of-Domain GAN Inversion via Differential Activations | 5 | eccv | 3 | 2 | 2023-06-17 00:58:29.192000 | https://github.com/haoruisong622/editing-out-of-domain | 36 | Editing Out-of-Domain GAN Inversion via Differential Activations | https://scholar.google.com/scholar?cluster=18013841559496694332&hl=en&as_sdt=0,33 | 3 | 2,022 |
On the Robustness of Quality Measures for GANs | 3 | eccv | 0 | 0 | 2023-06-17 00:58:29.404000 | https://github.com/motasemalfarra/r-fid-robustness-of-quality-measures-for-gans | 6 | On the Robustness of Quality Measures for GANs | https://scholar.google.com/scholar?cluster=11284746856078915311&hl=en&as_sdt=0,5 | 1 | 2,022 |
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN | 46 | eccv | 46 | 13 | 2023-06-17 00:58:29.615000 | https://github.com/FeiiYin/StyleHEAT | 423 | StyleHEAT: One-shot high-resolution editable talking face generation via pre-trained StyleGAN | https://scholar.google.com/scholar?cluster=5864155954786159147&hl=en&as_sdt=0,10 | 38 | 2,022 |
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer | 36 | eccv | 13 | 3 | 2023-06-17 00:58:29.826000 | https://github.com/songweige/tats | 165 | Long video generation with time-agnostic vqgan and time-sensitive transformer | https://scholar.google.com/scholar?cluster=11641368973270167401&hl=en&as_sdt=0,47 | 10 | 2,022 |
WISE: Whitebox Image Stylization by Example-Based Learning | 0 | eccv | 0 | 0 | 2023-06-17 00:58:30.037000 | https://github.com/MaxReimann/WISE-Editing | 5 | WISE: Whitebox Image Stylization by Example-Based Learning | https://scholar.google.com/scholar?cluster=11721863994418579715&hl=en&as_sdt=0,5 | 1 | 2,022 |
Transformers As Meta-Learners for Implicit Neural Representations | 8 | eccv | 4 | 3 | 2023-06-17 00:58:30.249000 | https://github.com/yinboc/trans-inr | 105 | Transformers as Meta-learners for Implicit Neural Representations | https://scholar.google.com/scholar?cluster=14082790836112531054&hl=en&as_sdt=0,5 | 4 | 2,022 |
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment | 4 | eccv | 23 | 12 | 2023-06-17 00:58:30.461000 | https://github.com/taeu/style-your-hair | 146 | Style your hair: Latent optimization for pose-invariant hairstyle transfer via local-style-aware hair alignment | https://scholar.google.com/scholar?cluster=5314884270219491237&hl=en&as_sdt=0,16 | 6 | 2,022 |
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions | 15 | eccv | 95 | 37 | 2023-06-17 00:58:30.672000 | https://github.com/sangyun884/hr-viton | 479 | High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions | https://scholar.google.com/scholar?cluster=9937789255365356917&hl=en&as_sdt=0,5 | 13 | 2,022 |
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis | 8 | eccv | 13 | 0 | 2023-06-17 00:58:30.886000 | https://github.com/jgkwak95/surf-gan | 105 | Injecting 3d perception of controllable nerf-gan into stylegan for editable portrait image synthesis | https://scholar.google.com/scholar?cluster=1000004118589887288&hl=en&as_sdt=0,10 | 4 | 2,022 |
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields | 15 | eccv | 10 | 4 | 2023-06-17 00:58:31.103000 | https://github.com/thomasneff/AdaNeRF | 230 | AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields | https://scholar.google.com/scholar?cluster=1612473994682901973&hl=en&as_sdt=0,10 | 9 | 2,022 |
Improving the Perceptual Quality of 2D Animation Interpolation | 5 | eccv | 8 | 0 | 2023-06-17 00:58:31.315000 | https://github.com/shuhongchen/eisai-anime-interpolator | 68 | Improving the perceptual quality of 2d animation interpolation | https://scholar.google.com/scholar?cluster=12566095824277126296&hl=en&as_sdt=0,5 | 9 | 2,022 |
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution | 3 | eccv | 7 | 5 | 2023-06-17 00:58:31.527000 | https://github.com/zhjy2016/splut | 42 | Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution | https://scholar.google.com/scholar?cluster=15232388700978391598&hl=en&as_sdt=0,23 | 5 | 2,022 |
DoodleFormer: Creative Sketch Drawing with Transformers | 7 | eccv | 4 | 0 | 2023-06-17 00:58:31.738000 | https://github.com/ankanbhunia/doodleformer | 21 | Doodleformer: Creative sketch drawing with transformers | https://scholar.google.com/scholar?cluster=2352232171072001106&hl=en&as_sdt=0,47 | 3 | 2,022 |
Implicit Neural Representations for Variable Length Human Motion Generation | 11 | eccv | 1 | 2 | 2023-06-17 00:58:31.950000 | https://github.com/pacerv/implicitmotion | 14 | Implicit neural representations for variable length human motion generation | https://scholar.google.com/scholar?cluster=3880426342699898660&hl=en&as_sdt=0,10 | 3 | 2,022 |
Learning Object Placement via Dual-Path Graph Completion | 0 | eccv | 5 | 1 | 2023-06-17 00:58:32.161000 | https://github.com/bcmi/graconet-object-placement | 58 | Learning Object Placement via Dual-Path Graph Completion | https://scholar.google.com/scholar?cluster=13655956839518412245&hl=en&as_sdt=0,31 | 7 | 2,022 |
Expanded Adaptive Scaling Normalization for End to End Image Compression | 2 | eccv | 2 | 2 | 2023-06-17 00:58:32.373000 | https://github.com/ChajinShin/EASN | 10 | Expanded Adaptive Scaling Normalization for End to End Image Compression | https://scholar.google.com/scholar?cluster=934780312576435440&hl=en&as_sdt=0,5 | 1 | 2,022 |
Generator Knows What Discriminator Should Learn in Unconditional GANs | 4 | eccv | 8 | 0 | 2023-06-17 00:58:32.584000 | https://github.com/naver-ai/ggdr | 102 | Generator Knows What Discriminator Should Learn in Unconditional GANs | https://scholar.google.com/scholar?cluster=2844655096145041282&hl=en&as_sdt=0,5 | 3 | 2,022 |
Compositional Visual Generation with Composable Diffusion Models | 74 | eccv | 34 | 2 | 2023-06-17 00:58:32.798000 | https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch | 354 | Compositional visual generation with composable diffusion models | https://scholar.google.com/scholar?cluster=12245459038718110522&hl=en&as_sdt=0,5 | 13 | 2,022 |
ManiFest: Manifold Deformation for Few-Shot Image Translation | 6 | eccv | 3 | 0 | 2023-06-17 00:58:33.010000 | https://github.com/cv-rits/manifest | 45 | Manifest: Manifold deformation for few-shot image translation | https://scholar.google.com/scholar?cluster=11893365927357803426&hl=en&as_sdt=0,44 | 2 | 2,022 |
Supervised Attribute Information Removal and Reconstruction for Image Manipulation | 1 | eccv | 0 | 1 | 2023-06-17 00:58:33.224000 | https://github.com/nannanli999/airr | 3 | Supervised Attribute Information Removal and Reconstruction for Image Manipulation | https://scholar.google.com/scholar?cluster=791705095185319394&hl=en&as_sdt=0,33 | 1 | 2,022 |
Context-Consistent Semantic Image Editing with Style-Preserved Modulation | 2 | eccv | 3 | 0 | 2023-06-17 00:58:33.436000 | https://github.com/wuyangluo/spmpgan | 22 | Context-Consistent Semantic Image Editing with Style-Preserved Modulation | https://scholar.google.com/scholar?cluster=16781287196069917950&hl=en&as_sdt=0,4 | 3 | 2,022 |
Eliminating Gradient Conflict in Reference-Based Line-Art Colorization | 5 | eccv | 3 | 1 | 2023-06-17 00:58:33.648000 | https://github.com/kunkun0w0/sga | 29 | Eliminating Gradient Conflict in Reference-based Line-Art Colorization | https://scholar.google.com/scholar?cluster=6270700589308346326&hl=en&as_sdt=0,11 | 2 | 2,022 |
Efficient Long-Range Attention Network for Image Super-Resolution | 43 | eccv | 15 | 16 | 2023-06-17 00:58:33.860000 | https://github.com/xindongzhang/elan | 153 | Efficient long-range attention network for image super-resolution | https://scholar.google.com/scholar?cluster=3464402829187061665&hl=en&as_sdt=0,47 | 9 | 2,022 |
FlowFormer: A Transformer Architecture for Optical Flow | 61 | eccv | 33 | 10 | 2023-06-17 00:58:34.073000 | https://github.com/drinkingcoder/FlowFormer-Official | 281 | Flowformer: A transformer architecture for optical flow | https://scholar.google.com/scholar?cluster=14023494476653043335&hl=en&as_sdt=0,5 | 14 | 2,022 |
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction | 31 | eccv | 70 | 0 | 2023-06-17 00:58:34.288000 | https://github.com/caiyuanhao1998/MST | 386 | Coarse-to-fine sparse transformer for hyperspectral image reconstruction | https://scholar.google.com/scholar?cluster=2900405794489939688&hl=en&as_sdt=0,14 | 7 | 2,022 |
Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks | 9 | eccv | 3 | 0 | 2023-06-17 00:58:34.500000 | https://github.com/zysxmu/ddtb | 19 | Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks | https://scholar.google.com/scholar?cluster=1333565731030185938&hl=en&as_sdt=0,10 | 1 | 2,022 |
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers | 11 | eccv | 15 | 0 | 2023-06-17 00:58:34.712000 | https://github.com/pjlallen/osformer | 70 | Osformer: One-stage camouflaged instance segmentation with transformers | https://scholar.google.com/scholar?cluster=3884436386572116508&hl=en&as_sdt=0,5 | 7 | 2,022 |
Highly Accurate Dichotomous Image Segmentation | 14 | eccv | 158 | 57 | 2023-06-17 00:58:34.923000 | https://github.com/xuebinqin/DIS | 1,378 | Highly accurate dichotomous image segmentation | https://scholar.google.com/scholar?cluster=14912311473813840654&hl=en&as_sdt=0,15 | 81 | 2,022 |
Flow-Guided Transformer for Video Inpainting | 9 | eccv | 20 | 4 | 2023-06-17 00:58:35.149000 | https://github.com/hitachinsk/fgt | 198 | Flow-guided transformer for video inpainting | https://scholar.google.com/scholar?cluster=1751280143087107618&hl=en&as_sdt=0,47 | 14 | 2,022 |
Shift-tolerant Perceptual Similarity Metric | 2 | eccv | 0 | 0 | 2023-06-17 00:58:35.360000 | https://github.com/abhijay9/shifttolerant-lpips | 17 | Shift-tolerant Perceptual Similarity Metric | https://scholar.google.com/scholar?cluster=17919204630676311579&hl=en&as_sdt=0,32 | 1 | 2,022 |
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution | 1 | eccv | 0 | 1 | 2023-06-17 00:58:35.572000 | https://github.com/yuehan717/pdasr | 16 | Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution | https://scholar.google.com/scholar?cluster=7760707849215243462&hl=en&as_sdt=0,39 | 3 | 2,022 |
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder | 18 | eccv | 33 | 12 | 2023-06-17 00:58:35.783000 | https://github.com/tencentarc/vqfr | 237 | Vqfr: Blind face restoration with vector-quantized dictionary and parallel decoder | https://scholar.google.com/scholar?cluster=17305503687713052200&hl=en&as_sdt=0,25 | 26 | 2,022 |
Learning Local Implicit Fourier Representation for Image Warping | 2 | eccv | 3 | 0 | 2023-06-17 00:58:35.996000 | https://github.com/jaewon-lee-b/ltew | 38 | Learning Local Implicit Fourier Representation for Image Warping | https://scholar.google.com/scholar?cluster=1487802789822830782&hl=en&as_sdt=0,5 | 3 | 2,022 |
SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement | 6 | eccv | 3 | 5 | 2023-06-17 00:58:36.207000 | https://github.com/ImCharlesY/SepLUT | 30 | SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement | https://scholar.google.com/scholar?cluster=13045636902151832924&hl=en&as_sdt=0,33 | 3 | 2,022 |
Blind Image Decomposition | 8 | eccv | 7 | 4 | 2023-06-17 00:58:36.419000 | https://github.com/JunlinHan/BID | 86 | Blind image decomposition | https://scholar.google.com/scholar?cluster=13827440915849525842&hl=en&as_sdt=0,26 | 3 | 2,022 |
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution | 8 | eccv | 10 | 10 | 2023-06-17 00:58:36.630000 | https://github.com/researchmm/ftvsr | 126 | Learning spatiotemporal frequency-transformer for compressed video super-resolution | https://scholar.google.com/scholar?cluster=3517362769556707866&hl=en&as_sdt=0,33 | 5 | 2,022 |
Adaptive Patch Exiting for Scalable Single Image Super-Resolution | 4 | eccv | 1 | 4 | 2023-06-17 00:58:36.842000 | https://github.com/littlepure2333/ape | 43 | Adaptive Patch Exiting for Scalable Single Image Super-Resolution | https://scholar.google.com/scholar?cluster=13105082447976896164&hl=en&as_sdt=0,39 | 4 | 2,022 |
Efficient Meta-Tuning for Content-Aware Neural Video Delivery | 3 | eccv | 1 | 0 | 2023-06-17 00:58:37.054000 | https://github.com/neural-video-delivery/emt-pytorch-eccv2022 | 6 | Efficient Meta-Tuning for Content-Aware Neural Video Delivery | https://scholar.google.com/scholar?cluster=10130679358783772745&hl=en&as_sdt=0,11 | 0 | 2,022 |
Reference-Based Image Super-Resolution with Deformable Attention Transformer | 7 | eccv | 5 | 10 | 2023-06-17 00:58:37.266000 | https://github.com/caojiezhang/datsr | 88 | Reference-Based Image Super-Resolution with Deformable Attention Transformer | https://scholar.google.com/scholar?cluster=16071126281599435175&hl=en&as_sdt=0,33 | 10 | 2,022 |
Local Color Distributions Prior for Image Enhancement | 9 | eccv | 9 | 0 | 2023-06-17 00:58:37.478000 | https://github.com/onpix/LCDPNet | 68 | Local color distributions prior for image enhancement | https://scholar.google.com/scholar?cluster=17586761629730586859&hl=en&as_sdt=0,5 | 3 | 2,022 |
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution | 5 | eccv | 6 | 0 | 2023-06-17 00:58:37.690000 | https://github.com/csxmli2016/redegnet | 88 | From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution | https://scholar.google.com/scholar?cluster=13593701505599300377&hl=en&as_sdt=0,5 | 9 | 2,022 |
Towards Interpretable Video Super-Resolution via Alternating Optimization | 5 | eccv | 1 | 5 | 2023-06-17 00:58:37.903000 | https://github.com/caojiezhang/davsr | 59 | Towards interpretable video super-resolution via alternating optimization | https://scholar.google.com/scholar?cluster=10238293316792513067&hl=en&as_sdt=0,5 | 3 | 2,022 |
Event-Based Fusion for Motion Deblurring with Cross-Modal Attention | 17 | eccv | 10 | 9 | 2023-06-17 00:58:38.114000 | https://github.com/AHupuJR/EFNet | 92 | Event-based fusion for motion deblurring with cross-modal attention | https://scholar.google.com/scholar?cluster=14490474713276822461&hl=en&as_sdt=0,5 | 4 | 2,022 |
Uncertainty Inspired Underwater Image Enhancement | 9 | eccv | 4 | 1 | 2023-06-17 00:58:38.327000 | https://github.com/zhenqifu/puie-net | 19 | Uncertainty Inspired Underwater Image Enhancement | https://scholar.google.com/scholar?cluster=10126452681191982181&hl=en&as_sdt=0,33 | 1 | 2,022 |
Unfolded Deep Kernel Estimation for Blind Image Super-Resolution | 2 | eccv | 5 | 2 | 2023-06-17 00:58:38.539000 | https://github.com/natezhenghy/udke | 17 | Unfolded Deep Kernel Estimation for Blind Image Super-Resolution | https://scholar.google.com/scholar?cluster=1520667820848489098&hl=en&as_sdt=0,22 | 3 | 2,022 |
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution | 7 | eccv | 8 | 10 | 2023-06-17 00:58:38.752000 | https://github.com/csjliang/dasr | 97 | Efficient and degradation-adaptive network for real-world image super-resolution | https://scholar.google.com/scholar?cluster=3974082769301249568&hl=en&as_sdt=0,48 | 4 | 2,022 |
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones | 4 | eccv | 2 | 0 | 2023-06-17 00:58:38.964000 | https://github.com/nagejacob/flornn | 20 | Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones | https://scholar.google.com/scholar?cluster=15935770797216345092&hl=en&as_sdt=0,5 | 3 | 2,022 |
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations | 5 | eccv | 7 | 0 | 2023-06-17 00:58:39.176000 | https://github.com/cszhilu1998/selfdzsr | 53 | Self-supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations | https://scholar.google.com/scholar?cluster=16385658738161606222&hl=en&as_sdt=0,33 | 1 | 2,022 |
Secrets of Event-Based Optical Flow | 25 | eccv | 3 | 1 | 2023-06-17 00:58:39.388000 | https://github.com/tub-rip/event_based_optical_flow | 75 | Secrets of event-based optical flow | https://scholar.google.com/scholar?cluster=13783388448881671161&hl=en&as_sdt=0,25 | 8 | 2,022 |
ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images | 1 | eccv | 0 | 2 | 2023-06-17 00:58:39.600000 | https://github.com/rajeevyasarla/art-ss | 4 | Art-ss: An adaptive rejection technique for semi-supervised restoration for adverse weather-affected images | https://scholar.google.com/scholar?cluster=8634464602596189660&hl=en&as_sdt=0,25 | 0 | 2,022 |
Learning Degradation Representations for Image Deblurring | 10 | eccv | 5 | 0 | 2023-06-17 00:58:39.811000 | https://github.com/dasongli1/learning_degradation | 38 | Learning Degradation Representations for Image Deblurring | https://scholar.google.com/scholar?cluster=11119821786788764797&hl=en&as_sdt=0,39 | 1 | 2,022 |
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution | 4 | eccv | 0 | 4 | 2023-06-17 00:58:40.022000 | https://github.com/palmdong/mmsr | 43 | Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution | https://scholar.google.com/scholar?cluster=298716658447470528&hl=en&as_sdt=0,5 | 1 | 2,022 |
Neural Color Operators for Sequential Image Retouching | 4 | eccv | 3 | 0 | 2023-06-17 00:58:40.235000 | https://github.com/amberwangyili/neurop | 39 | Neural Color Operators for Sequential Image Retouching | https://scholar.google.com/scholar?cluster=3823720464495152486&hl=en&as_sdt=0,41 | 3 | 2,022 |
Optimizing Image Compression via Joint Learning with Denoising | 4 | eccv | 4 | 1 | 2023-06-17 00:58:40.447000 | https://github.com/felixcheng97/denoisecompression | 29 | Optimizing image compression via joint learning with denoising | https://scholar.google.com/scholar?cluster=13649554563810257260&hl=en&as_sdt=0,5 | 2 | 2,022 |
Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution | 3 | eccv | 1 | 0 | 2023-06-17 00:58:40.659000 | https://github.com/wuyushuwys/compiler-aware-nas-sr | 17 | Compiler-aware neural architecture search for on-mobile real-time super-resolution | https://scholar.google.com/scholar?cluster=2243620518317324754&hl=en&as_sdt=0,25 | 2 | 2,022 |
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction | 3 | eccv | 2 | 0 | 2023-06-17 00:58:40.870000 | https://github.com/jiamian-wang/mask_uncertainty_spectral_sci | 16 | Modeling mask uncertainty in hyperspectral image reconstruction | https://scholar.google.com/scholar?cluster=6079714254448074761&hl=en&as_sdt=0,36 | 1 | 2,022 |
Stripformer: Strip Transformer for Fast Image Deblurring | 26 | eccv | 6 | 0 | 2023-06-17 00:58:41.083000 | https://github.com/pp00704831/Stripformer | 58 | Stripformer: Strip transformer for fast image deblurring | https://scholar.google.com/scholar?cluster=10215844569682190526&hl=en&as_sdt=0,14 | 1 | 2,022 |
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution | 1 | eccv | 0 | 0 | 2023-06-17 00:58:41.295000 | https://github.com/setsunil/dsdnet | 2 | Learning Discriminative Shrinkage Deep Networks for Image Deconvolution | https://scholar.google.com/scholar?cluster=13377495633902429445&hl=en&as_sdt=0,5 | 1 | 2,022 |
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution | 3 | eccv | 1 | 3 | 2023-06-17 00:58:41.507000 | https://github.com/jiahong-fu/kxnet | 19 | KXNet: A model-driven deep neural network for blind super-resolution | https://scholar.google.com/scholar?cluster=12146394812137134639&hl=en&as_sdt=0,23 | 1 | 2,022 |
ARM: Any-Time Super-Resolution Method | 7 | eccv | 6 | 2 | 2023-06-17 00:58:41.719000 | https://github.com/chenbong/arm-net | 66 | Arm: Any-time super-resolution method | https://scholar.google.com/scholar?cluster=9854931424979748889&hl=en&as_sdt=0,23 | 2 | 2,022 |
RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos | 5 | eccv | 6 | 9 | 2023-06-17 00:58:41.930000 | https://github.com/megvii-research/realflow | 65 | RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos | https://scholar.google.com/scholar?cluster=2357872755011993501&hl=en&as_sdt=0,10 | 5 | 2,022 |
Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer | 9 | eccv | 8 | 1 | 2023-06-17 00:58:42.141000 | https://github.com/megvii-research/hdr-transformer | 62 | Ghost-free High Dynamic Range Imaging with Context-aware Transformer | https://scholar.google.com/scholar?cluster=11991343694761677136&hl=en&as_sdt=0,23 | 7 | 2,022 |
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution | 4 | eccv | 1 | 1 | 2023-06-17 00:58:42.353000 | https://github.com/megvii-research/d2c-sr | 35 | D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution | https://scholar.google.com/scholar?cluster=3563418582975171663&hl=en&as_sdt=0,39 | 3 | 2,022 |
GRIT-VLP: Grouped Mini-Batch Sampling for Efficient Vision and Language Pre-training | 2 | eccv | 3 | 0 | 2023-06-17 00:58:42.565000 | https://github.com/jaeseokbyun/grit-vlp | 15 | GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training | https://scholar.google.com/scholar?cluster=15243780204045830710&hl=en&as_sdt=0,6 | 1 | 2,022 |
Efficient Video Deblurring Guided by Motion Magnitude | 4 | eccv | 2 | 0 | 2023-06-17 00:58:42.777000 | https://github.com/sollynoay/mmp-rnn | 33 | Efficient video deblurring guided by motion magnitude | https://scholar.google.com/scholar?cluster=18330514522578591072&hl=en&as_sdt=0,39 | 2 | 2,022 |
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model | 9 | eccv | 3 | 4 | 2023-06-17 00:58:42.989000 | https://github.com/vita-group/turbnet | 17 | Single frame atmospheric turbulence mitigation: A benchmark study and a new physics-inspired transformer model | https://scholar.google.com/scholar?cluster=4037966427869046131&hl=en&as_sdt=0,44 | 10 | 2,022 |
Image Super-Resolution with Deep Dictionary | 3 | eccv | 4 | 0 | 2023-06-17 00:58:43.201000 | https://github.com/shuntama/srdd | 21 | Image Super-Resolution with Deep Dictionary | https://scholar.google.com/scholar?cluster=11087658392566964930&hl=en&as_sdt=0,5 | 1 | 2,022 |
Transformer with Implicit Edges for Particle-Based Physics Simulation | 1 | eccv | 1 | 0 | 2023-06-17 00:58:43.413000 | https://github.com/ftbabi/tie_eccv2022 | 18 | Transformer with Implicit Edges for Particle-Based Physics Simulation | https://scholar.google.com/scholar?cluster=9449642789524236611&hl=en&as_sdt=0,36 | 1 | 2,022 |
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance | 8 | eccv | 3 | 2 | 2023-06-17 00:58:43.624000 | https://github.com/zzh-tech/animation-from-blur | 53 | Animation from blur: Multi-modal blur decomposition with motion guidance | https://scholar.google.com/scholar?cluster=9123494897020961967&hl=en&as_sdt=0,5 | 4 | 2,022 |
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition | 4 | eccv | 1 | 1 | 2023-06-17 00:58:43.837000 | https://github.com/zouxinyi0625/cdnet | 13 | Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition | https://scholar.google.com/scholar?cluster=1956941044982502116&hl=en&as_sdt=0,3 | 2 | 2,022 |
Self-Support Few-Shot Semantic Segmentation | 17 | eccv | 7 | 5 | 2023-06-17 00:58:44.048000 | https://github.com/fanq15/ssp | 69 | Self-support few-shot semantic segmentation | https://scholar.google.com/scholar?cluster=9613308018815988294&hl=en&as_sdt=0,3 | 2 | 2,022 |
Self-Supervision Can Be a Good Few-Shot Learner | 12 | eccv | 6 | 0 | 2023-06-17 00:58:44.261000 | https://github.com/bbbdylan/unisiam | 23 | Self-supervision can be a good few-shot learner | https://scholar.google.com/scholar?cluster=4096987818886615290&hl=en&as_sdt=0,4 | 3 | 2,022 |
tSF: Transformer-Based Semantic Filter for Few-Shot Learning | 2 | eccv | 0 | 0 | 2023-06-17 00:58:44.474000 | https://github.com/Layjins/FewShotLearning-tSF | 3 | tSF: Transformer-Based Semantic Filter for Few-Shot Learning | https://scholar.google.com/scholar?cluster=5698571287241225877&hl=en&as_sdt=0,11 | 3 | 2,022 |
Adversarial Feature Augmentation for Cross-Domain Few-Shot Classification | 10 | eccv | 1 | 2 | 2023-06-17 00:58:44.685000 | https://github.com/youthhoo/afa_for_few_shot_learning | 11 | Adversarial Feature Augmentation for Cross-domain Few-Shot Classification | https://scholar.google.com/scholar?cluster=14462214637786993820&hl=en&as_sdt=0,18 | 2 | 2,022 |
Constructing Balance from Imbalance for Long-Tailed Image Recognition | 7 | eccv | 0 | 0 | 2023-06-17 00:58:44.896000 | https://github.com/silicx/dlsa | 13 | Constructing balance from imbalance for long-tailed image recognition | https://scholar.google.com/scholar?cluster=12609344790634586279&hl=en&as_sdt=0,11 | 2 | 2,022 |
Few-Shot Video Object Detection | 5 | eccv | 47 | 55 | 2023-06-17 00:58:45.108000 | https://github.com/fanq15/FewX | 316 | Few-shot video object detection | https://scholar.google.com/scholar?cluster=7961825092807755752&hl=en&as_sdt=0,10 | 14 | 2,022 |
Worst Case Matters for Few-Shot Recognition | 1 | eccv | 0 | 0 | 2023-06-17 00:58:45.320000 | https://github.com/heekhero/ACSR | 7 | Worst Case Matters for Few-Shot Recognition | https://scholar.google.com/scholar?cluster=12823135366704972810&hl=en&as_sdt=0,33 | 1 | 2,022 |
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification | 3 | eccv | 1 | 0 | 2023-06-17 00:58:45.532000 | https://github.com/WilliamYi96/HGR-Net | 14 | Exploring hierarchical graph representation for large-scale zero-shot image classification | https://scholar.google.com/scholar?cluster=4800924625104175232&hl=en&as_sdt=0,14 | 2 | 2,022 |
Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation | 6 | eccv | 0 | 2 | 2023-06-17 00:58:45.743000 | https://github.com/shadowxzt/dacm-few-shot.pytorch | 8 | Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation | https://scholar.google.com/scholar?cluster=1359227618447849305&hl=en&as_sdt=0,5 | 1 | 2,022 |
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation | 9 | eccv | 11 | 0 | 2023-06-17 00:58:45.955000 | https://github.com/pawn-sxy/dcama | 46 | Dense cross-query-and-support attention weighted mask aggregation for few-shot segmentation | https://scholar.google.com/scholar?cluster=17485956023511063051&hl=en&as_sdt=0,14 | 0 | 2,022 |
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning | 2 | eccv | 1 | 0 | 2023-06-17 00:58:46.182000 | https://github.com/xingpingdong/pl-cfe | 3 | Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning | https://scholar.google.com/scholar?cluster=9620651412344831514&hl=en&as_sdt=0,44 | 3 | 2,022 |
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects | 4 | eccv | 4 | 3 | 2023-06-17 00:58:46.395000 | https://github.com/townim-faisal/fscil-3d | 16 | Few-Shot Class-Incremental Learning for 3D Point Cloud Objects | https://scholar.google.com/scholar?cluster=1772360174390670957&hl=en&as_sdt=0,36 | 1 | 2,022 |
Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection | 6 | eccv | 0 | 1 | 2023-06-17 00:58:46.606000 | https://github.com/zs123-lang/tenet | 3 | Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection | https://scholar.google.com/scholar?cluster=10668839897669475580&hl=en&as_sdt=0,33 | 2 | 2,022 |
Self-Promoted Supervision for Few-Shot Transformer | 4 | eccv | 4 | 4 | 2023-06-17 00:58:46.818000 | https://github.com/dongsky/few-shot-vit | 40 | Self-Promoted Supervision for Few-Shot Transformer | https://scholar.google.com/scholar?cluster=10018956318668229427&hl=en&as_sdt=0,5 | 3 | 2,022 |
Few-Shot Object Counting and Detection | 5 | eccv | 1 | 9 | 2023-06-17 00:58:47.030000 | https://github.com/vinairesearch/counting-detr | 26 | Few-Shot Object Counting and Detection | https://scholar.google.com/scholar?cluster=11531166092977785304&hl=en&as_sdt=0,24 | 3 | 2,022 |
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark | 3 | eccv | 1 | 1 | 2023-06-17 00:58:47.243000 | https://github.com/amazon-research/few-shot-object-detection-benchmark | 8 | Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark | https://scholar.google.com/scholar?cluster=11138126306412509009&hl=en&as_sdt=0,44 | 9 | 2,022 |
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations | 4 | eccv | 1 | 0 | 2023-06-17 00:58:47.455000 | https://github.com/WentaoChen0813/CDCS-FSL | 5 | Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations | https://scholar.google.com/scholar?cluster=12324415757438647098&hl=en&as_sdt=0,33 | 2 | 2,022 |
Improving Few-Shot Learning through Multi-task Representation Learning Theory | 7 | eccv | 0 | 0 | 2023-06-17 00:58:47.666000 | https://github.com/cea-list/metamtreg | 5 | Improving Few-Shot Learning Through Multi-task Representation Learning Theory | https://scholar.google.com/scholar?cluster=9061027599238574404&hl=en&as_sdt=0,5 | 2 | 2,022 |
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation | 5 | eccv | 3 | 0 | 2023-06-17 00:58:47.878000 | https://github.com/remiMZ/HTS-ECCV22 | 7 | Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation | https://scholar.google.com/scholar?cluster=7260005370926286580&hl=en&as_sdt=0,44 | 2 | 2,022 |
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments | 6 | eccv | 0 | 1 | 2023-06-17 00:58:48.091000 | https://github.com/vinairesearch/fsvc-ata | 13 | Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments | https://scholar.google.com/scholar?cluster=8246881591316575010&hl=en&as_sdt=0,5 | 4 | 2,022 |
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