Collections
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Collections including paper arxiv:2401.13627
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 8 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 15 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 58 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 71
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VideoBooth: Diffusion-based Video Generation with Image Prompts
Paper • 2312.00777 • Published • 20 -
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Paper • 2312.03641 • Published • 20 -
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
Paper • 2312.04557 • Published • 12 -
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion
Paper • 2312.04433 • Published • 9
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The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Paper • 2311.10093 • Published • 57 -
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
Paper • 2311.12229 • Published • 26 -
Diffusion Model Alignment Using Direct Preference Optimization
Paper • 2311.12908 • Published • 47 -
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
Paper • 2312.00845 • Published • 36