图像生成

A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction

Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang

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

Comments Accepted by ECAI 2023

DiffI2I: Efficient Diffusion Model for Image-to-Image Translation

Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timotfe, Luc Van Gool

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

Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model

Xunpeng Yi, Han Xu, Hao Zhang, Linfeng Tang, Jiayi Ma

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

Comments Accepted by ICCV 2023

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su

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

Comments ICCV 2023 final version. Project page: https://lakonik.github.io/ssdnerf

Augmenting medical image classifiers with synthetic data from latent diffusion models

Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi, Matthew Groh, Pranav Rajpurkar, Adewole S. Adamson, Veronica Rotemberg, Roxana Daneshjou, Arjun K. Manrai

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

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation

Koutilya Pnvr, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs

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

Comments Supplementary material is included in the paper following the references section

Efficient Transfer Learning in Diffusion Models via Adversarial Noise

Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu

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

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment

Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang

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

Comments accepted by ICCV2023

Relightify: Relightable 3D Faces from a Single Image via Diffusion Models

Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Stefanos Zafeiriou

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

Comments ICCV 2023, 15 pages, 14 figures. Project page: https://foivospar.github.io/Relightify/

ControlCom: Controllable Image Composition using Diffusion Model

Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu

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

Denoising Diffusion Autoencoders are Unified Self-supervised Learners

Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang

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

Comments ICCV 2023 Oral

SimDA: Simple Diffusion Adapter for Efficient Video Generation

Zhen Xing, Qi Dai, Han Hu, Zuxuan Wu, Yu-Gang Jiang

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

Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model

Ran Jiang, Sanfeng Zhang, Linfeng Liu, Yanbing Peng

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

DiffIR: Efficient Diffusion Model for Image Restoration

Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool

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

Comments This paper is accepted by ICCV2023. Codes and models are available at https://github.com/Zj-BinXia/DiffIR

Dancing Avatar: Pose and Text-Guided Human Motion Videos Synthesis with Image Diffusion Model

Bosheng Qin, Wentao Ye, Qifan Yu, Siliang Tang, Yueting Zhuang

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

Comments 11 pages, 3 figures

Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks

David Junhao Zhang, Mutian Xu, Chuhui Xue, Wenqing Zhang, Xiaoguang Han, Song Bai, Mike Zheng Shou

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

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models

Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian

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

Comments 13 pages, 5 figures

Open-vocabulary Object Segmentation with Diffusion Models

Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie

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

Inst-Inpaint: Instructing to Remove Objects with Diffusion Models

Ahmet Burak Yildirim, Vedat Baday, Erkut Erdem, Aykut Erdem, Aysegul Dundar

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

Degeneration-Tuning: Using Scrambled Grid shield Unwanted Concepts from Stable Diffusion

Zixuan Ni, Longhui Wei, Jiacheng Li, Siliang Tang, Yueting Zhuang, Qi Tian

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

Journal ref ACM MM 2023

DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation

Runyang Feng, Yixing Gao, Tze Ho Elden Tse, Xueqing Ma, Hyung Jin Chang

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

Comments This paper is accepted to ICCV 2023

SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation

Shikun Sun, Longhui Wei, Junliang Xing, Jia Jia, Qi Tian

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

Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling

Zhao Yang, Bing Su, Ji-Rong Wen

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

Comments Accepted at ACM MM 2023

DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models

Jianxin Lin, Peng Xiao, Yijun Wang, Rongju Zhang, Xiangxiang Zeng

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

LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement

Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Bjorn Stenger, Tae-Kyun Kim, Wei Liu, Hongdong Li

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

Comments 16 pages, 9 figures

Atmospheric Turbulence Correction via Variational Deep Diffusion

Xijun Wang, Santiago López-Tapia, Aggelos K. Katsaggelos

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

Comments This work has been accepted to the 2023 IEEE 6th International Conference on Multimedia Information Processing and Retrieval (MIPR)

Interpolating between Images with Diffusion Models

Clinton J. Wang, Polina Golland

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

Comments Presented at ICML 2023 Workshop on Challenges of Deploying Generative AI

PartDiff: Image Super-resolution with Partial Diffusion Models

Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, Kyunghyun Sung

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

FABRIC: Personalizing Diffusion Models with Iterative Feedback

Dimitri von Rütte, Elisabetta Fedele, Jonathan Thomm, Lukas Wolf

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

Comments 14 pages, 7 figures

Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis

Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu

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

Comments Accepted by International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). 10 pages, 4 figures