图像生成

Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields

Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg

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

SAR Image Synthesis with Diffusion Models

Denisa Qosja, Simon Wagner, Daniel O'Hagan

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

Comments Published at IEEE Radar Conference 2024

Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation

Jihyun Kim, Changjae Oh, Hoseok Do, Soohyun Kim, Kwanghoon Sohn

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

Comments Accepted by CVPR 2024

MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior

Honghua Chen, Chen Change Loy, Xingang Pan

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

Comments 14 pages, 10 figures, conference

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models

Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang

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

Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models

Xiaoshi Wu, Yiming Hao, Manyuan Zhang, Keqiang Sun, Zhaoyang Huang, Guanglu Song, Yu Liu, Hongsheng Li

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

Comments N/A

Giving a Hand to Diffusion Models: a Two-Stage Approach to Improving Conditional Human Image Generation

Anton Pelykh, Ozge Mercanoglu Sincan, Richard Bowden

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

InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

Zhiheng Liu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Jie Xiao, Kai Zhu, Nan Xue, Yu Liu, Yujun Shen, Yang Cao

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

Comments Project page: https://johanan528.github.io/Infusion

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting

Ashkan Mirzaei, Riccardo De Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic

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

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

Taming Stable Diffusion for Text to 360° Panorama Image Generation

Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, Jianfei Cai

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

Comments CVPR 2024. Project Page: https://chengzhag.github.io/publication/panfusion Code: https://github.com/chengzhag/PanFusion

Many-to-many Image Generation with Auto-regressive Diffusion Models

Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu

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

Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting

Haipeng Liu, Yang Wang, Biao Qian, Meng Wang, Yong Rui

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

Comments 15 pages, 10 figures, to appear CVPR 2024

AVID: Any-Length Video Inpainting with Diffusion Model

Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris Metaxas, Licheng Yu

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

Comments Project website: https://zhang-zx.github.io/AVID/

Learned representation-guided diffusion models for large-image generation

Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel Saltz, Dimitris Samaras

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

MAM-E: Mammographic synthetic image generation with diffusion models

Ricardo Montoya-del-Angel, Karla Sam-Millan, Joan C Vilanova, Robert Martí

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

Comments 10 pages + 2 pages of references, 6 figures

Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing

Alberto Baldrati, Davide Morelli, Marcella Cornia, Marco Bertini, Rita Cucchiara

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

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting

Alicia Durrer, Julia Wolleb, Florentin Bieder, Paul Friedrich, Lester Melie-Garcia, Mario Ocampo-Pineda, Cosmin I. Bercea, Ibrahim E. Hamamci, Benedikt Wiestler, Marie Piraud, Özgür Yaldizli, Cristina Granziera, Bjoern H. Menze, Philippe C. Cattin, Florian Kofler

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

Predicated Diffusion: Predicate Logic-Based Attention Guidance for Text-to-Image Diffusion Models

Kota Sueyoshi, Takashi Matsubara

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

Comments 20 pages, 16 figures, 6 tables, ~500 images, ~30MB

Journal ref The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024

Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder

Jinseok Kim, Tae-Kyun Kim

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

Comments Accepted by CVPR 2024

BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, Qiang Xu

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

Outline-Guided Object Inpainting with Diffusion Models

Markus Pobitzer, Filip Janicki, Mattia Rigotti, Cristiano Malossi

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

Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All

Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar

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

DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder

Tao Liu, Chenpeng Du, Shuai Fan, Feilong Chen, Kai Yu

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

Comments 5 pages, Accepted to ICASSP 2024

Inpaint4DNeRF: Promptable Spatio-Temporal NeRF Inpainting with Generative Diffusion Models

Han Jiang, Haosen Sun, Ruoxuan Li, Chi-Keung Tang, Yu-Wing Tai

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

UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer

Soon Yau Cheong, Armin Mustafa, Andrew Gilbert

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

Journal ref Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2023

Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation

Xin Yuan, Michael Maire

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

Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion

Kira Prabhu, Jane Wu, Lynn Tsai, Peter Hedman, Dan B Goldman, Ben Poole, Michael Broxton

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

Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain

Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid

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

Comments Submitted to ISBI-2024

Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models

Mengyang Feng, Jinlin Liu, Miaomiao Cui, Xuansong Xie

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

Comments 2 pages, 8 figures, Tech. Report

DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs

Moein Heidari, Alireza Morsali, Tohid Abedini, Samin Heydarian

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