-
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:2410.14672
-
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
Paper • 2410.13925 • Published • 24 -
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
Paper • 2410.14672 • Published • 8 -
Scalable Ranked Preference Optimization for Text-to-Image Generation
Paper • 2410.18013 • Published • 14 -
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
Paper • 2410.18666 • Published • 19
-
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
-
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Paper • 2406.09416 • Published • 29 -
Wavelets Are All You Need for Autoregressive Image Generation
Paper • 2406.19997 • Published • 31 -
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
Paper • 2407.17365 • Published • 13 -
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
Paper • 2408.11001 • Published • 13
-
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
-
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
Paper • 2410.13925 • Published • 24 -
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
Paper • 2410.14672 • Published • 8 -
Scalable Ranked Preference Optimization for Text-to-Image Generation
Paper • 2410.18013 • Published • 14 -
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
Paper • 2410.18666 • Published • 19
-
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Paper • 2406.09416 • Published • 29 -
Wavelets Are All You Need for Autoregressive Image Generation
Paper • 2406.19997 • Published • 31 -
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
Paper • 2407.17365 • Published • 13 -
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
Paper • 2408.11001 • Published • 13
-
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