图像生成

Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images

Vishal Dubey

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

Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative Models

Pedro Morão, Joao Santinha, Yasna Forghani, Nuno Loução, Pedro Gouveia, Mario A. T. Figueiredo

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

Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models

Youngjun Jun, Jiwoo Park, Kyobin Choo, Tae Eun Choi, Seong Jae Hwang

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

Consistency Diffusion Bridge Models

Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu

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

Comments NeurIPS 2024

FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Jingfeng Yao, Wang Cheng, Wenyu Liu, Xinggang Wang

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

Comments NeurIPS 2024 (poster); update to camera-ready version

Text-Aware Diffusion for Policy Learning

Calvin Luo, Mandy He, Zilai Zeng, Chen Sun

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

Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment

Yiheng Li, Heyang Jiang, Akio Kodaira, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

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

Binarized Diffusion Model for Image Super-Resolution

Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang

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

Comments Accepted to NeurIPS 2024. Code is available at https://github.com/zhengchen1999/BI-DiffSR

GeoGS3D: Single-view 3D Reconstruction via Geometric-aware Diffusion Model and Gaussian Splatting

Qijun Feng, Zhen Xing, Zuxuan Wu, Yu-Gang Jiang

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

HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models

Shengkai Zhang, Nianhong Jiao, Tian Li, Chaojie Yang, Chenhui Xue, Boya Niu, Jun Gao

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

Comments 11 pages, 7 figures, 2 tables

Embedding Watermarks in Diffusion Process for Model Intellectual Property Protection

Jijia Yang, Sen Peng, Xiaohua Jia

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

DiffGS: Functional Gaussian Splatting Diffusion

Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu

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

Comments Accepted by NeurIPS 2024. Project page: https://junshengzhou.github.io/DiffGS

FDDM: Frequency-Decomposed Diffusion Model for Rectum Cancer Dose Prediction in Radiotherapy

Xin Liao, Zhenghao Feng, Jianghong Xiao, Xingchen Peng, Yan Wang

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

Slight Corruption in Pre-training Data Makes Better Diffusion Models

Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj

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

Comments NeurIPS 2024 Spotlight

Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models

Raman Dutt, Pedro Sanchez, Ondrej Bohdal, Sotirios A. Tsaftaris, Timothy Hospedales

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

Comments Accepted at the GenLaw (Generative AI + Law) workshop at ICML'24

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach

Dac Thai Nguyen, Trung Thanh Nguyen, Huu Tien Nguyen, Thanh Trung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen

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

Comments IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025

Non-rigid Relative Placement through 3D Dense Diffusion

Eric Cai, Octavian Donca, Ben Eisner, David Held

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

Comments Conference on Robot Learning (CoRL), 2024

Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images

Donghwan Kim, Tae-Kyun Kim

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

Comments 17 pages, 7 figures, accepted NeurIPS 2024

NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing

Ting-Hsuan Chen, Jiewen Chan, Hau-Shiang Shiu, Shih-Han Yen, Chang-Han Yeh, Yu-Lun Liu

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

Comments NeurIPS 2024. Project page: https://koi953215.github.io/NaRCan_page/ Code: https://github.com/koi953215/NaRCan

Simplified Diffusion Schrödinger Bridge

Zhicong Tang, Tiankai Hang, Shuyang Gu, Dong Chen, Baining Guo

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

On Inductive Biases That Enable Generalization of Diffusion Transformers

Jie An, De Wang, Pengsheng Guo, Jiebo Luo, Alexander Schwing

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

Comments Project page: https://dit-generalization.github.io; Code repository: https://github.com/DiT-Generalization/DiT-Generalization

Prompt Diffusion Robustifies Any-Modality Prompt Learning

Yingjun Du, Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella, Cees G. M. Snoek

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

Comments Under review

Attack-Resilient Image Watermarking Using Stable Diffusion

Lijun Zhang, Xiao Liu, Antoni Viros Martin, Cindy Xiong Bearfield, Yuriy Brun, Hui Guan

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

Comments 28 pages, 11 figures; NeurIPS24

MarDini: Masked Autoregressive Diffusion for Video Generation at Scale

Haozhe Liu, Shikun Liu, Zijian Zhou, Mengmeng Xu, Yanping Xie, Xiao Han, Juan C. Pérez, Ding Liu, Kumara Kahatapitiya, Menglin Jia, Jui-Chieh Wu, Sen He, Tao Xiang, Jürgen Schmidhuber, Juan-Manuel Pérez-Rúa

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

Comments Project Page: https://mardini-vidgen.github.io

Does Diffusion Beat GAN in Image Super Resolution?

Denis Kuznedelev, Valerii Startsev, Daniil Shlenskii, Sergey Kastryulin

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

Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series

Ilan Naiman, Nimrod Berman, Itai Pemper, Idan Arbiv, Gal Fadlon, Omri Azencot

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

Comments Accepted to NeurIPS 2024; The first two authors contributed equally

A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging

Siyuan Dong, Zhuotong Cai, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Yaqing Huang, Qinghao Liang, Chenyu You, Chathura Kumaragamage, Robert K. Fulbright, Amit Mahajan, Amin Karbasi, John A. Onofrey, Robin A. de Graaf, James S. Duncan

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

Comments Accepted by Medical Image Analysis (MedIA)

Journal ref Medical Image Analysis (2024): 103358

Diffusion Reconstruction of Ultrasound Images with Informative Uncertainty

Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus

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

Comments This work has been submitted to the IEEE for possible publication. (10 pages)

Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks

Mingwen Shao, Lingzhuang Meng, Yuanjian Qiao, Lixu Zhang, Wangmeng Zuo

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

Comments This work has been submitted to the IEEE for possible publication

Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models

Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma

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

Comments This work has been submitted to the IEEE for possible publication