图像生成

Image Translation as Diffusion Visual Programmers

Cheng Han, James C. Liang, Qifan Wang, Majid Rabbani, Sohail Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu

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

Comments 25 pages, 20 figures

You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation

Mehdi Noroozi, Isma Hadji, Brais Martinez, Adrian Bulat, Georgios Tzimiropoulos

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

FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Haonan Qiu, Menghan Xia, Yong Zhang, Yingqing He, Xintao Wang, Ying Shan, Ziwei Liu

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

Comments ICLR 2024, Project Page: http://haonanqiu.com/projects/FreeNoise.html, Code Repo: https://github.com/AILab-CVC/FreeNoise

Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach

Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan

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

Comments ICLR 2024 accepted

CPDM: Content-Preserving Diffusion Model for Underwater Image Enhancement

Xiaowen Shi, Yuan-Gen Wang

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

DAM: Diffusion Activation Maximization for 3D Global Explanations

Hanxiao Tan

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

Diffusion-based Data Augmentation for Object Counting Problems

Zhen Wang, Yuelei Li, Jia Wan, Nuno Vasconcelos

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

PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment

Jianyuan Wang, Christian Rupprecht, David Novotny

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

Comments ICCV Camera Ready: revised Introduction and Related work, added a metric mAA (AUC), added some quantitative results, and added Appendix

Diffusion Model for Dense Matching

Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim

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

Comments ICLR 2024 (Oral), Project page is available at https://ku-cvlab.github.io/DiffMatch/

Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model

Yuanming Li, Gwantae Kim, Jeong-gi Kwak, Bon-hwa Ku, Hanseok Ko

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

Comments 6 pages, ICASSP 2024 accepted

MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation

Nhat M. Hoang, Kehong Gong, Chuan Guo, Michael Bi Mi

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

Comments Accepted at the 38th Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence, Main Conference

Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement

Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel

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

Comments This paper has been accepted for presentation at 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)

Common Diffusion Noise Schedules and Sample Steps are Flawed

Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang

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

S$^{2}$-DMs:Skip-Step Diffusion Models

Yixuan Wang, Shuangyin Li

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

Comments 12 pages

Feature Denoising Diffusion Model for Blind Image Quality Assessment

Xudong Li, Jingyuan Zheng, Runze Hu, Yan Zhang, Ke Li, Yunhang Shen, Xiawu Zheng, Yutao Liu, ShengChuan Zhang, Pingyang Dai, Rongrong Ji

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

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models

Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, Seung Wook Kim

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

Comments ICLR 2024. Project page: https://kmcode1.github.io/Projects/EmerDiff/

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation

Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran

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

Comments Accepted at AAAI 2024 (oral presentation)

Exploring Diffusion Time-steps for Unsupervised Representation Learning

Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang

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

Comments Accepted by ICLR 2024

FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery

Tasin Islam, Alina Miron, XiaoHui Liu, Yongmin Li

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

MAEDiff: Masked Autoencoder-enhanced Diffusion Models for Unsupervised Anomaly Detection in Brain Images

Rui Xu, Yunke Wang, Bo Du

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

Hierarchical Masked 3D Diffusion Model for Video Outpainting

Fanda Fan, Chaoxu Guo, Litong Gong, Biao Wang, Tiezheng Ge, Yuning Jiang, Chunjie Luo, Jianfeng Zhan

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

Comments Accepted to ACM MM 2023

NODI: Out-Of-Distribution Detection with Noise from Diffusion

Jingqiu Zhou, Aojun Zhou, Hongsheng Li

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

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification

Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che

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

Comments AAAI 2024

Siamese Meets Diffusion Network: SMDNet for Enhanced Change Detection in High-Resolution RS Imagery

Jia Jia, Geunho Lee, Zhibo Wang, Lyu Zhi, Yuchu He

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

Comments 12 pages, 4 figures

Training-Free Semantic Video Composition via Pre-trained Diffusion Model

Jiaqi Guo, Sitong Su, Junchen Zhu, Lianli Gao, Jingkuan Song

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

VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

Haoxin Chen, Yong Zhang, Xiaodong Cun, Menghan Xia, Xintao Wang, Chao Weng, Ying Shan

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

Comments Homepage: https://ailab-cvc.github.io/videocrafter; Github: https://github.com/AILab-CVC/VideoCrafter

Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability

Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen

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

Comments Accepted as a conference paper in NeurIPS'2023. Code repo: https://github.com/xavihart/Diff-PGD

Modeling Spoof Noise by De-spoofing Diffusion and its Application in Face Anti-spoofing

Bin Zhang, Xiangyu Zhu, Xiaoyu Zhang, Zhen Lei

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

Comments Accepted by IJCB2023

Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization

Chongzhi Zhang, Mingyuan Zhang, Zhiyang Teng, Jiayi Li, Xizhou Zhu, Lewei Lu, Ziwei Liu, Aixin Sun

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

SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation

Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu, Wenxuan Peng, Youngsik Yun, Andrew Hundt, Jihie Kim, Jean Oh

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