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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collections
Discover the best community collections!
Collections including paper arxiv:2410.13925
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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 • 77
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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 • 15 -
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
Paper • 2410.18666 • Published • 19
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
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 • 15 -
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 • 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 • 77