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Collections including paper arxiv:2404.16029

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 36
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Editing methods

Editable Image Elements for Controllable Synthesis

Paper • 2404.16029 • Published Apr 24 • 10

Vision and language

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

Paper • 2404.04125 • Published Apr 4 • 27
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

Paper • 2404.03653 • Published Apr 4 • 33
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models

Paper • 2404.02747 • Published Apr 3 • 11
3D Congealing: 3D-Aware Image Alignment in the Wild

Paper • 2404.02125 • Published Apr 2 • 6

RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization

Paper • 2403.00483 • Published Mar 1 • 11
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Paper • 2403.01779 • Published Mar 4 • 27
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Paper • 2401.11605 • Published Jan 21 • 20
FiT: Flexible Vision Transformer for Diffusion Model

Paper • 2402.12376 • Published Feb 19 • 48

Training-Free Consistent Text-to-Image Generation

Paper • 2402.03286 • Published Feb 5 • 64
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation

Paper • 2402.04324 • Published Feb 6 • 23
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space

Paper • 2402.05195 • Published Feb 7 • 18
FiT: Flexible Vision Transformer for Diffusion Model

Paper • 2402.12376 • Published Feb 19 • 48

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17 • 8
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18 • 15
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19 • 58
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24 • 71

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