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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 • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
Collections
Discover the best community collections!
Collections including paper arxiv:2403.03206
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Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 245 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 17 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71
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FastVLM: Efficient Vision Encoding for Vision Language Models
Paper • 2412.13303 • Published • 75 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 118 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 61 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
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OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
Paper • 2506.07977 • Published • 40 -
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers
Paper • 2506.07986 • Published • 19 -
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Paper • 2506.06276 • Published • 26 -
Aligning Latent Spaces with Flow Priors
Paper • 2506.05240 • Published • 27
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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 • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
-
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 245 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 17 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71
-
FastVLM: Efficient Vision Encoding for Vision Language Models
Paper • 2412.13303 • Published • 75 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 118 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 61 -
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Paper • 2509.12201 • Published • 107
-
OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
Paper • 2506.07977 • Published • 40 -
Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers
Paper • 2506.07986 • Published • 19 -
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Paper • 2506.06276 • Published • 26 -
Aligning Latent Spaces with Flow Priors
Paper • 2506.05240 • Published • 27