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Collections including paper arxiv:2412.01339

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models

Paper • 2406.09416 • Published Jun 13, 2024 • 27
Wavelets Are All You Need for Autoregressive Image Generation

Paper • 2406.19997 • Published Jun 28, 2024 • 29
ViPer: Visual Personalization of Generative Models via Individual Preference Learning

Paper • 2407.17365 • Published Jul 24, 2024 • 12
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning

Paper • 2408.11001 • Published Aug 20, 2024 • 11

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

Paper • 2402.04252 • Published Feb 6, 2024 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 40
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 20

Diffusion-Score-Flow Guidance

Negative Token Merging: Image-based Adversarial Feature Guidance

Paper • 2412.01339 • Published Dec 2, 2024 • 22

Negative Token Merging: Image-based Adversarial Feature Guidance

Paper • 2412.01339 • Published Dec 2, 2024 • 22

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

Paper • 2401.09048 • Published Jan 17, 2024 • 9
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18, 2024 • 16
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 73

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