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Collections including paper arxiv:2406.09162

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Paper • 2306.07967 • Published Jun 13, 2023 • 24
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

Paper • 2306.07954 • Published Jun 13, 2023 • 113
TryOnDiffusion: A Tale of Two UNets

Paper • 2306.08276 • Published Jun 14, 2023 • 72
Seeing the World through Your Eyes

Paper • 2306.09348 • Published Jun 15, 2023 • 32

Image-Gen Personalization

pOps: Photo-Inspired Diffusion Operators

Paper • 2406.01300 • Published Jun 3 • 16
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

Paper • 2406.06911 • Published Jun 11 • 10
Interpreting the Weight Space of Customized Diffusion Models

Paper • 2406.09413 • Published Jun 13 • 18
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts

Paper • 2406.09162 • Published Jun 13 • 13

Image Generation

EdgeFusion: On-Device Text-to-Image Generation

Paper • 2404.11925 • Published Apr 18 • 21
Dynamic Typography: Bringing Words to Life

Paper • 2404.11614 • Published Apr 17 • 41
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

Paper • 2404.07987 • Published Apr 11 • 47
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Paper • 2404.07724 • Published Apr 11 • 11

Improving Text-to-Image Consistency via Automatic Prompt Optimization

Paper • 2403.17804 • Published Mar 26 • 15
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

Paper • 2403.16990 • Published Mar 25 • 24
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
Condition-Aware Neural Network for Controlled Image Generation

Paper • 2404.01143 • Published Apr 1 • 11

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

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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