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Collections including paper arxiv:2410.13863

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

Paper • 2401.09048 • Published Jan 17, 2024 • 10
Improving fine-grained understanding in image-text pre-training

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

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 78

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

Paper • 2410.13863 • Published Oct 17, 2024 • 37

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Paper • 2405.08748 • Published May 14, 2024 • 23
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Paper • 2405.10300 • Published May 16, 2024 • 31
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 134
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Paper • 2405.11143 • Published May 20, 2024 • 41

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

Paper • 2311.10093 • Published Nov 16, 2023 • 58
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation

Paper • 2311.12229 • Published Nov 20, 2023 • 25
Diffusion Model Alignment Using Direct Preference Optimization

Paper • 2311.12908 • Published Nov 21, 2023 • 49
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models

Paper • 2312.00845 • Published Dec 1, 2023 • 39

ROICtrl: Boosting Instance Control for Visual Generation

Paper • 2411.17949 • Published Nov 27, 2024 • 87
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders

Paper • 2410.22366 • Published Oct 28, 2024 • 84
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Paper • 2410.13863 • Published Oct 17, 2024 • 37
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization

Paper • 2408.15914 • Published Aug 28, 2024 • 24

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models

Paper • 2406.09416 • Published Jun 13, 2024 • 29
Wavelets Are All You Need for Autoregressive Image Generation

Paper • 2406.19997 • Published Jun 28, 2024 • 31
ViPer: Visual Personalization of Generative Models via Individual Preference Learning

Paper • 2407.17365 • Published Jul 24, 2024 • 13
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning

Paper • 2408.11001 • Published Aug 20, 2024 • 13

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

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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, 2024 • 2
Denoising Diffusion Probabilistic Models

Paper • 2006.11239 • Published Jun 19, 2020 • 9
Denoising Diffusion Implicit Models

Paper • 2010.02502 • Published Oct 6, 2020 • 4

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

Paper • 2401.09048 • Published Jan 17, 2024 • 10
Improving fine-grained understanding in image-text pre-training

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

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 78

ROICtrl: Boosting Instance Control for Visual Generation

Paper • 2411.17949 • Published Nov 27, 2024 • 87
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders

Paper • 2410.22366 • Published Oct 28, 2024 • 84
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens

Paper • 2410.13863 • Published Oct 17, 2024 • 37
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization

Paper • 2408.15914 • Published Aug 28, 2024 • 24

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

Paper • 2410.13863 • Published Oct 17, 2024 • 37

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models

Paper • 2406.09416 • Published Jun 13, 2024 • 29
Wavelets Are All You Need for Autoregressive Image Generation

Paper • 2406.19997 • Published Jun 28, 2024 • 31
ViPer: Visual Personalization of Generative Models via Individual Preference Learning

Paper • 2407.17365 • Published Jul 24, 2024 • 13
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning

Paper • 2408.11001 • Published Aug 20, 2024 • 13

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Paper • 2405.08748 • Published May 14, 2024 • 23
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection

Paper • 2405.10300 • Published May 16, 2024 • 31
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 134
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Paper • 2405.11143 • Published May 20, 2024 • 41

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

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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

Paper • 2311.10093 • Published Nov 16, 2023 • 58
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation

Paper • 2311.12229 • Published Nov 20, 2023 • 25
Diffusion Model Alignment Using Direct Preference Optimization

Paper • 2311.12908 • Published Nov 21, 2023 • 49
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models

Paper • 2312.00845 • Published Dec 1, 2023 • 39

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, 2024 • 2
Denoising Diffusion Probabilistic Models

Paper • 2006.11239 • Published Jun 19, 2020 • 9
Denoising Diffusion Implicit Models

Paper • 2010.02502 • Published Oct 6, 2020 • 4

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