-
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 • 19 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 64 -
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:2412.09622
-
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Paper • 2410.10306 • Published • 57 -
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
Paper • 2411.05003 • Published • 71 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 27 -
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Paper • 2410.07171 • Published • 43
-
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 • 19 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 64 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
-
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
Paper • 2412.09622 • Published • 8 -
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
Paper • 2412.04146 • Published • 23 -
Learning Flow Fields in Attention for Controllable Person Image Generation
Paper • 2412.08486 • Published • 36 -
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
Paper • 2412.05148 • Published • 12
-
pOps: Photo-Inspired Diffusion Operators
Paper • 2406.01300 • Published • 17 -
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Paper • 2406.06911 • Published • 12 -
Interpreting the Weight Space of Customized Diffusion Models
Paper • 2406.09413 • Published • 20 -
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Paper • 2406.09162 • Published • 14
-
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 • 19 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 64 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
-
LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
Paper • 2412.09622 • Published • 8 -
AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
Paper • 2412.04146 • Published • 23 -
Learning Flow Fields in Attention for Controllable Person Image Generation
Paper • 2412.08486 • Published • 36 -
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
Paper • 2412.05148 • Published • 12
-
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Paper • 2410.10306 • Published • 57 -
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning
Paper • 2411.05003 • Published • 71 -
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Paper • 2411.04709 • Published • 27 -
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Paper • 2410.07171 • Published • 43
-
pOps: Photo-Inspired Diffusion Operators
Paper • 2406.01300 • Published • 17 -
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Paper • 2406.06911 • Published • 12 -
Interpreting the Weight Space of Customized Diffusion Models
Paper • 2406.09413 • Published • 20 -
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Paper • 2406.09162 • Published • 14
-
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 • 19 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 64 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78