图像生成 - arXivDaily 专题

2410.03160 2024-10-07 cs.CV cs.LG 83%

Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach

Yaofang Liu, Yumeng Ren, Xiaodong Cun, Aitor Artola, Yang Liu, Tieyong Zeng, Raymond H. Chan, Jean-michel Morel

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Code at https://github.com/Yaofang-Liu/FVDM

2405.03958 2024-10-07 cs.CV cs.AI cs.LG 83%

Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model

Joo Young Choi, Jaesung R. Park, Inkyu Park, Jaewoong Cho, Albert No, Ernest K. Ryu

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2312.14830 2024-10-07 physics.med-ph cs.CV eess.IV physics.bio-ph q-bio.TO 83%

Dreaming of Electrical Waves: Generative Modeling of Cardiac Excitation Waves using Diffusion Models

Tanish Baranwal, Jan Lebert, Jan Christoph

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)；分类 cs.CV

2309.13042 2024-10-07 cs.CV cs.AI cs.LG 83%

MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation

Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, Chen Change Loy

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments International Journal of Computer Vision (IJCV), 2024

2405.14857 2024-10-03 cs.CV cs.AI cs.LG 83%

Conditional Diffusion on Web-Scale Image Pairs leads to Diverse Image Variations

Manoj Kumar, Neil Houlsby, Emiel Hoogeboom

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

2404.02148 2024-10-03 cs.CV 83%

Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models

Zeyu Yang, Zijie Pan, Chun Gu, Li Zhang

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Technical Report

2408.00760 2024-10-02 cs.CV cs.AI cs.LG 83%

Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention

Susung Hong

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Accepted to NeurIPS 2024

2311.00265 2024-10-02 eess.IV cs.CV 83%

Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study

Jonghun Kim, Hyunjin Park

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)；分类 cs.CV

Comments 8 pages, 7 figures, WACV 2024 Accepted

2409.19589 2024-10-01 cs.CV 83%

Effective Diffusion Transformer Architecture for Image Super-Resolution

Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Code is available at https://github.com/kunncheng/DiT-SR

2405.18025 2024-10-01 cs.CV cs.AI 83%

Where's Waldo: Diffusion Features for Personalized Segmentation and Retrieval

Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments Accepted to NeurIPS 2024

2403.06098 2024-10-01 cs.CV cs.CL 83%

VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

Wenhao Wang, Yi Yang

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2024 (Datasets and Benchmarks Track)

2306.09316 2024-10-01 cs.CV 83%

Diffusion Models for Open-Vocabulary Segmentation

Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments ECCV 2024

2409.15997 2024-09-30 cs.CV cs.AI cs.LG 83%

Improvements to SDXL in NovelAI Diffusion V3

Juan Ossa, Eren Doğan, Alex Birch, F. Johnson

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments 14 pages, 8 figures

2312.00094 2024-09-30 cs.CV cs.AI 83%

Fast ODE-based Sampling for Diffusion Models in Around 5 Steps

Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)；分类 cs.CV

Comments Accepted by CVPR 2024 (Spotlight)

2409.17740 2024-09-27 cs.CV 83%

AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status

Jinghao Zhang, Wen Qian, Hao Luo, Fan Wang, Feng Zhao

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments 13 pages, 12 figures

2409.17565 2024-09-27 cs.CV cs.AI cs.LG 83%

Pixel-Space Post-Training of Latent Diffusion Models

Christina Zhang, Simran Motwani, Matthew Yu, Ji Hou, Felix Juefei-Xu, Sam Tsai, Peter Vajda, Zijian He, Jialiang Wang

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2409.17487 2024-09-27 cs.CV 83%

Learning Quantized Adaptive Conditions for Diffusion Models

Yuchen Liang, Yuchuan Tian, Lei Yu, Huao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

专题命中扩散模型：diffusion(title,abstract)；image editing(abstract)；分类 cs.CV

2409.16535 2024-09-26 cs.CV 83%

Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models

Deepak Sridhar, Nuno Vasconcelos

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)；分类 cs.CV

Comments ECCV'24 - Unlearning and Model Editing Workshop. Code: https://github.com/DeepakSridhar/promptsliders

2409.16280 2024-09-25 cs.CV 83%

MonoFormer: One Transformer for Both Diffusion and Autoregression

Chuyang Zhao, Yuxing Song, Wenhao Wang, Haocheng Feng, Errui Ding, Yifan Sun, Xinyan Xiao, Jingdong Wang

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2403.11415 2024-09-24 cs.CV cs.AI cs.LG 83%

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation

Jeongsol Kim, Geon Yeong Park, Jong Chul Ye

专题命中扩散模型：diffusion(title,abstract)；image editing(abstract)；分类 cs.CV

Comments ECCV 2024

2409.12539 2024-09-20 cs.CV 83%

Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

Joonil Hwang, Sangjoon Park, NaHyeon Park, Seungryong Cho, Jin Sung Kim

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments MICCAI 2024

2403.19140 2024-09-19 cs.CV cs.AI 83%

QNCD: Quantization Noise Correction for Diffusion Models

Huanpeng Chu, Wei Wu, Chengjie Zang, Kun Yuan

专题命中扩散模型：diffusion(title,abstract)；image synthesis(abstract)；分类 cs.CV

Comments Accepted by ACMMM2024

2409.11831 2024-09-19 cs.RO cs.CV cs.LG 83%

RaggeDi: Diffusion-based State Estimation of Disordered Rags, Sheets, Towels and Blankets

Jikai Ye, Wanze Li, Shiraz Khan, Gregory S. Chirikjian

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2409.11689 2024-09-19 cs.CV cs.AI 83%

GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose Generation

Shuowen Liang, Sisi Li, Qingyun Wang, Cen Zhang, Kaiquan Zhu, Tian Yang

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2409.09569 2024-09-17 cs.LG cs.CV cs.CY 83%

Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models

Sahil Kuchlous, Marvin Li, Jeffrey G. Wang

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments 19 pages, 4 figures

2409.09144 2024-09-17 cs.CV 83%

PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage

Denis Zavadski, Damjan Kalšan, Carsten Rother

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

2310.10647 2024-09-17 cs.CV cs.AI cs.LG 83%

A Survey on Video Diffusion Models

Zhen Xing, Qijun Feng, Haoran Chen, Qi Dai, Han Hu, Hang Xu, Zuxuan Wu, Yu-Gang Jiang

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

2409.08278 2024-09-13 cs.CV 83%

DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors

Thomas Hanwen Zhu, Ruining Li, Tomas Jakab

专题命中扩散模型：diffusion(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments Project page: https://DreamHOI.github.io/

2303.15288 2024-09-13 cs.CV cs.LG 83%

Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing

Florentin Bieder, Julia Wolleb, Alicia Durrer, Robin Sandkühler, Philippe C. Cattin

专题命中扩散模型：diffusion(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Accepted at MIDL 2023

Journal ref Medical Imaging with Deep Learning, PMLR 227:552-567, 2024

2409.07269 2024-09-12 cs.CV 83%

Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models

Sanoojan Baliah, Qinliang Lin, Shengcai Liao, Xiaodan Liang, Muhammad Haris Khan

专题命中扩散模型：diffusion(title,abstract)；inpainting(abstract)；分类 cs.CV

Comments Accepted as a conference paper at WACV 2025

1. 扩散模型 70159 篇

Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach

Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model

Dreaming of Electrical Waves: Generative Modeling of Cardiac Excitation Waves using Diffusion Models

MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation

Conditional Diffusion on Web-Scale Image Pairs leads to Diverse Image Variations

Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models

Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention

Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study

Effective Diffusion Transformer Architecture for Image Super-Resolution

Where's Waldo: Diffusion Features for Personalized Segmentation and Retrieval

VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

Diffusion Models for Open-Vocabulary Segmentation

Improvements to SDXL in NovelAI Diffusion V3

Fast ODE-based Sampling for Diffusion Models in Around 5 Steps

AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status

Pixel-Space Post-Training of Latent Diffusion Models

Learning Quantized Adaptive Conditions for Diffusion Models

Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models

MonoFormer: One Transformer for Both Diffusion and Autoregression

DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation

Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings

QNCD: Quantization Noise Correction for Diffusion Models

RaggeDi: Diffusion-based State Estimation of Disordered Rags, Sheets, Towels and Blankets

GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose Generation

Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models

PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage

A Survey on Video Diffusion Models

DreamHOI: Subject-Driven Generation of 3D Human-Object Interactions with Diffusion Priors

Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing

Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models