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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 • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
Collections
Discover the best community collections!
Collections including paper arxiv:2504.16064
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Boosting Generative Image Modeling via Joint Image-Feature Synthesis
Paper • 2504.16064 • Published • 14 -
LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
Paper • 2504.14032 • Published • 4 -
Towards Understanding Camera Motions in Any Video
Paper • 2504.15376 • Published • 159 -
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper • 2504.17192 • Published • 115
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Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
Paper • 2412.06781 • Published • 24 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Paper • 2502.20256 • Published -
High-Resolution Building and Road Detection from Sentinel-2
Paper • 2310.11622 • Published
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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 • 63 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 77
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PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Paper • 2310.00426 • Published • 60 -
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 47 -
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
Paper • 2310.16825 • Published • 36 -
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Paper • 2401.11605 • Published • 23
-
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 • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
-
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 • 63 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 77
-
Boosting Generative Image Modeling via Joint Image-Feature Synthesis
Paper • 2504.16064 • Published • 14 -
LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
Paper • 2504.14032 • Published • 4 -
Towards Understanding Camera Motions in Any Video
Paper • 2504.15376 • Published • 159 -
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
Paper • 2504.17192 • Published • 115
-
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
Paper • 2412.06781 • Published • 24 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Paper • 2502.20256 • Published -
High-Resolution Building and Road Detection from Sentinel-2
Paper • 2310.11622 • Published
-
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Paper • 2310.00426 • Published • 60 -
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 47 -
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
Paper • 2310.16825 • Published • 36 -
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Paper • 2401.11605 • Published • 23