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Collections including paper arxiv:2410.13863

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 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Paper • 2410.13863 • Published 19 days ago • 35

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models

Paper • 2406.09416 • Published Jun 13 • 28
Wavelets Are All You Need for Autoregressive Image Generation

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

Paper • 2407.17365 • Published Jul 24 • 11
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning

Paper • 2408.11001 • Published Aug 20 • 11

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7 • 13
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 4

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

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models

Paper • 2311.10093 • Published Nov 16, 2023 • 57
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation

Paper • 2311.12229 • Published Nov 20, 2023 • 26
Diffusion Model Alignment Using Direct Preference Optimization

Paper • 2311.12908 • Published Nov 21, 2023 • 47
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models

Paper • 2312.00845 • Published Dec 1, 2023 • 36

Image / Video Gen

Image Generation Using Diffusion-Based Methods: Tips and Techniques for Stable Diffusion

Understanding Diffusion Models: A Unified Perspective

Paper • 2208.11970 • Published Aug 25, 2022
Tutorial on Diffusion Models for Imaging and Vision

Paper • 2403.18103 • Published Mar 26 • 2
Denoising Diffusion Probabilistic Models

Paper • 2006.11239 • Published Jun 19, 2020 • 3
Denoising Diffusion Implicit Models

Paper • 2010.02502 • Published Oct 6, 2020 • 3

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