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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 26 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 41 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 22
Collections
Discover the best community collections!
Collections including paper arxiv:2502.07701
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DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes
Paper • 2412.11100 • Published • 7 -
LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity
Paper • 2412.09856 • Published • 10 -
DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
Paper • 2412.09349 • Published • 8 -
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
Paper • 2412.04448 • Published • 10
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Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Paper • 2410.10306 • Published • 55 -
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
Paper • 2411.05003 • Published • 70 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 25 -
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Paper • 2410.07171 • Published • 42
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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 17 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
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Understanding Diffusion Models: A Unified Perspective
Paper • 2208.11970 • Published -
Tutorial on Diffusion Models for Imaging and Vision
Paper • 2403.18103 • Published • 2 -
Denoising Diffusion Probabilistic Models
Paper • 2006.11239 • Published • 3 -
Denoising Diffusion Implicit Models
Paper • 2010.02502 • Published • 3