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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
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:2411.07975
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GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
Paper • 2312.04557 • Published • 13 -
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Paper • 2312.04410 • Published • 15 -
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
Paper • 2312.04461 • Published • 62 -
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively
Paper • 2401.02955 • Published • 23
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
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
-
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation
Paper • 2312.04557 • Published • 13 -
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Paper • 2312.04410 • Published • 15 -
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
Paper • 2312.04461 • Published • 62 -
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively
Paper • 2401.02955 • Published • 23