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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 • 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:2502.18461
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K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs
Paper • 2502.18461 • Published • 16 -
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
Paper • 2410.10792 • Published • 31 -
Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation
Paper • 2503.13070 • Published • 10 -
DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models
Paper • 2503.12885 • Published • 44
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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 • 72 -
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 • 44
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BrushEdit: All-In-One Image Inpainting and Editing
Paper • 2412.10316 • Published • 36 -
ColorFlow: Retrieval-Augmented Image Sequence Colorization
Paper • 2412.11815 • Published • 26 -
FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers
Paper • 2412.09611 • Published • 10 -
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Paper • 2412.07517 • Published • 11
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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 • 76
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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 • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs
Paper • 2502.18461 • Published • 16 -
Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
Paper • 2410.10792 • Published • 31 -
Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation
Paper • 2503.13070 • Published • 10 -
DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models
Paper • 2503.12885 • Published • 44
-
BrushEdit: All-In-One Image Inpainting and Editing
Paper • 2412.10316 • Published • 36 -
ColorFlow: Retrieval-Augmented Image Sequence Colorization
Paper • 2412.11815 • Published • 26 -
FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers
Paper • 2412.09611 • Published • 10 -
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Paper • 2412.07517 • Published • 11
-
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 • 72 -
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 • 44
-
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 • 76