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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 33 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 26 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 123 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
Collections
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Collections including paper arxiv:2408.14837
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SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
Paper • 2408.14176 • Published • 62 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 123 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 59 -
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
Paper • 2409.01199 • Published • 14
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Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 65 -
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Paper • 2408.12590 • Published • 36 -
Real-Time Video Generation with Pyramid Attention Broadcast
Paper • 2408.12588 • Published • 16 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 59
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Lessons from Learning to Spin "Pens"
Paper • 2407.18902 • Published • 21 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 123 -
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents
Paper • 2410.07484 • Published • 48 -
Autonomous Character-Scene Interaction Synthesis from Text Instruction
Paper • 2410.03187 • Published • 7
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Human-like Episodic Memory for Infinite Context LLMs
Paper • 2407.09450 • Published • 62 -
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
Paper • 2407.09435 • Published • 23 -
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
Paper • 2407.09121 • Published • 6 -
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
Paper • 2407.14482 • Published • 26
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Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Paper • 2405.08748 • Published • 24 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 29 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 131 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 38
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Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 90 -
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 65 -
Compression Represents Intelligence Linearly
Paper • 2404.09937 • Published • 27 -
Multi-Head Mixture-of-Experts
Paper • 2404.15045 • Published • 60
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MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 37 -
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Paper • 2402.16822 • Published • 18 -
FuseChat: Knowledge Fusion of Chat Models
Paper • 2402.16107 • Published • 40 -
Multi-LoRA Composition for Image Generation
Paper • 2402.16843 • Published • 31