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Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
Paper • 2412.10208 • Published • 19 -
Normalizing Flows are Capable Generative Models
Paper • 2412.06329 • Published • 9 -
A Noise is Worth Diffusion Guidance
Paper • 2412.03895 • Published • 28 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 36
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Collections including paper arxiv:2412.03895
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Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models
Paper • 2411.07126 • Published • 28 -
Style-Friendly SNR Sampler for Style-Driven Generation
Paper • 2411.14793 • Published • 36 -
Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
Paper • 2411.09449 • Published -
OminiControl: Minimal and Universal Control for Diffusion Transformer
Paper • 2411.15098 • Published • 55
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Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Paper • 2405.08748 • Published • 22 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 28 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 130 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 36
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 17 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 60 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 74