图像生成

LEAD: Latent Realignment for Human Motion Diffusion

Nefeli Andreou, Xi Wang, Victoria Fernández Abrevaya, Marie-Paule Cani, Yiorgos Chrysanthou, Vicky Kalogeiton

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

L3DG: Latent 3D Gaussian Diffusion

Barbara Roessle, Norman Müller, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Angela Dai, Matthias Nießner

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

Comments SIGGRAPH Asia 2024, project page: https://barbararoessle.github.io/l3dg , video: https://youtu.be/UHEEiXCYeLU

Cultural Heritage 3D Reconstruction with Diffusion Networks

Pablo Jaramillo, Ivan Sipiran

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

Comments Accepted by the workshop VISART for ECCV 2024

TALK-Act: Enhance Textural-Awareness for 2D Speaking Avatar Reenactment with Diffusion Model

Jiazhi Guan, Quanwei Yang, Kaisiyuan Wang, Hang Zhou, Shengyi He, Zhiliang Xu, Haocheng Feng, Errui Ding, Jingdong Wang, Hongtao Xie, Youjian Zhao, Ziwei Liu

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

Comments Accepted to SIGGRAPH Asia 2024 (conference track). Project page: https://guanjz20.github.io/projects/TALK-Act

DifFRelight: Diffusion-Based Facial Performance Relighting

Mingming He, Pascal Clausen, Ahmet Levent Taşel, Li Ma, Oliver Pilarski, Wenqi Xian, Laszlo Rikker, Xueming Yu, Ryan Burgert, Ning Yu, Paul Debevec

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

Comments 18 pages, SIGGRAPH Asia 2024 Conference Papers (SA Conference Papers '24), December 3--6, 2024, Tokyo, Japan. Project page: https://www.eyelinestudios.com/research/diffrelight.html

Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach

Sha Guo, Zhuo Chen, Yang Zhao, Ning Zhang, Xiaotong Li, Lingyu Duan

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

Journal ref in Proceedings of the 31st ACM International Conference on Multimedia, pp. 1431-1442, 2023

CMMD: Contrastive Multi-Modal Diffusion for Video-Audio Conditional Modeling

Ruihan Yang, Hannes Gamper, Sebastian Braun

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

Radio Frequency Signal based Human Silhouette Segmentation: A Sequential Diffusion Approach

Penghui Wen, Kun Hu, Dong Yuan, Zhiyuan Ning, Changyang Li, Zhiyong Wang

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

Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer

Kento Masui, Mayu Otani, Masahiro Nomura, Hideki Nakayama

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

DiffSSD: A Diffusion-Based Dataset For Speech Forensics

Kratika Bhagtani, Amit Kumar Singh Yadav, Paolo Bestagini, Edward J. Delp

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

Comments Submitted to IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2025

LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion

Biao Zhang, Peter Wonka

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

Comments For more information: https://1zb.github.io/LaGeM

COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models

Divyanshu Daiya, Damon Conover, Aniket Bera

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

Comments 9 pages, 6 figures

DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion

Yukun Huang, Jianan Wang, Ailing Zeng, Zheng-Jun Zha, Lei Zhang, Xihui Liu

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

Comments Project page: https://yukun-huang.github.io/DreamWaltz-G/

High Perceptual Quality Wireless Image Delivery with Denoising Diffusion Models

Selim F. Yilmaz, Xueyan Niu, Bo Bai, Wei Han, Lei Deng, Deniz Gunduz

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

Comments 6 pages, 5 figures. Published at INFOCOM 2024 Workshops

A Diffusion Approach to Radiance Field Relighting using Multi-Illumination Synthesis

Yohan Poirier-Ginter, Alban Gauthier, Julien Philip, Jean-Francois Lalonde, George Drettakis

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

Comments Project site https://repo-sam.inria.fr/fungraph/generative-radiance-field-relighting/

Journal ref Computer Graphics Forum, Volume 43 (2024), Number 4

Human-Aware 3D Scene Generation with Spatially-constrained Diffusion Models

Xiaolin Hong, Hongwei Yi, Fazhi He, Qiong Cao

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

FD2Talk: Towards Generalized Talking Head Generation with Facial Decoupled Diffusion Model

Ziyu Yao, Xuxin Cheng, Zhiqi Huang

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

Comments Accepted by ACM Multimedia 2024

High-fidelity and Lip-synced Talking Face Synthesis via Landmark-based Diffusion Model

Weizhi Zhong, Junfan Lin, Peixin Chen, Liang Lin, Guanbin Li

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

Comments submitted to IEEE Transactions on Image Processing(TIP)

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities

Lorenzo Baraldi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Alessandro Nicolosi, Rita Cucchiara

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

Comments ECCV 2024

Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion

Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas Guibas, Noah Snavely, Gordon Wetzstein

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

Comments *Equal Contributions; Fixed few duplicated references from 1st upload; Project Page: https://boyangdeng.com/streetscapes

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

Zhengming Yu, Zhiyang Dou, Xiaoxiao Long, Cheng Lin, Zekun Li, Yuan Liu, Norman Müller, Taku Komura, Marc Habermann, Christian Theobalt, Xin Li, Wenping Wang

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

Comments Accepted to ECCV 2024. Project Page: https://yzmblog.github.io/projects/SurfD/

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models

Junlin Han, Filippos Kokkinos, Philip Torr

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

Comments ECCV 2024. Project page: https://junlinhan.github.io/projects/vfusion3d.html

Distilling Diffusion Models into Conditional GANs

Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park

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

Comments Project page: https://mingukkang.github.io/Diffusion2GAN/ (ECCV2024)

SMooDi: Stylized Motion Diffusion Model

Lei Zhong, Yiming Xie, Varun Jampani, Deqing Sun, Huaizu Jiang

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

Comments ECCV 2024. Project page: https://neu-vi.github.io/SMooDi/

When Synthetic Traces Hide Real Content: Analysis of Stable Diffusion Image Laundering

Sara Mandelli, Paolo Bestagini, Stefano Tubaro

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

StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal

Chongjie Ye, Lingteng Qiu, Xiaodong Gu, Qi Zuo, Yushuang Wu, Zilong Dong, Liefeng Bo, Yuliang Xiu, Xiaoguang Han

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

Comments HF Demo: hf.co/Stable-X, Video: https://www.youtube.com/watch?v=sylXTxG_U2U

Transparent Image Layer Diffusion using Latent Transparency

Lvmin Zhang, Maneesh Agrawala

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

Comments 44 pages, 37 figures, github.com/layerdiffusion/LayerDiffuse

MatFusion: A Generative Diffusion Model for SVBRDF Capture

Sam Sartor, Pieter Peers

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

Journal ref ACM SIGGRAPH Asia 2023 Conference Proceedings

Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Fangfu Liu, Hanyang Wang, Shunyu Yao, Shengjun Zhang, Jie Zhou, Yueqi Duan

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

Comments Project page: https://liuff19.github.io/Physics3D

Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer

Sigal Raab, Inbar Gat, Nathan Sala, Guy Tevet, Rotem Shalev-Arkushin, Ohad Fried, Amit H. Bermano, Daniel Cohen-Or

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

Comments Video: https://www.youtube.com/watch?v=s5oo3sKV0YU, Project page: https://monkeyseedocg.github.io, Code: https://github.com/MonkeySeeDoCG/MoMo-code