图像生成

SODA: Bottleneck Diffusion Models for Representation Learning

Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner

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

HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation

Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wang

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

Comments The project page of HumanNorm is https://humannorm.github.io/

HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion

Jingbo Zhang, Xiaoyu Li, Qi Zhang, Yanpei Cao, Ying Shan, Jing Liao

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

Comments Homepage: https://eckertzhang.github.io/HumanRef.github.io/

Manifold Preserving Guided Diffusion

Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon

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

Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations

Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe

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

Diffusion Models for Interferometric Satellite Aperture Radar

Alexandre Tuel, Thomas Kerdreux, Claudia Hulbert, Bertrand Rouet-Leduc

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

Masked Diffusion Models Are Fast Distribution Learners

Jiachen Lei, Qinglong Wang, Peng Cheng, Zhongjie Ba, Zhan Qin, Zhibo Wang, Zhenguang Liu, Kui Ren

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

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models

Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr

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

Comments NeurIPS 2023 (Oral). Project page: https://www.cs.cmu.edu/~afluo/BrainDiVE/

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

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

Comments Accepted by NeurIPS 23, project page: https://sd-complements-dino.github.io/

Reinforcement Learning from Diffusion Feedback: Q* for Image Search

Aboli Marathe

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

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau

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

Self-Guided Diffusion Models

Vincent Tao Hu, David W Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek

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

Comments CVPR 2023

CopyScope: Model-level Copyright Infringement Quantification in the Diffusion Workflow

Junlei Zhou, Jiashi Gao, Ziwei Wang, Xuetao Wei

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

Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models

Zheyuan Kuang, Jiaxin Zhang, Yiying Huang, Yunqin Li

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

Comments HABITS OF THE ANTHROPOCENE - Proceedings of the 43rd ACADIA Conference - Volume II: Proceedings book one, University of Colorado Denver, Denver, Colorado, USA, 26-28 October 2023, pp. 616-625, CUMINCAD, 2023

On the Noise Scheduling for Generating Plausible Designs with Diffusion Models

Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang

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

Mitigating Exposure Bias in Discriminator Guided Diffusion Models

Eleftherios Tsonis, Paraskevi Tzouveli, Athanasios Voulodimos

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

DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics

Aniket Roy, Maiterya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa

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

Privacy Threats in Stable Diffusion Models

Thomas Cilloni, Charles Fleming, Charles Walter

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

Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale

Robert Harb, Thomas Pock, Heimo Müller

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

Multimodal Data Augmentation for Image Captioning using Diffusion Models

Changrong Xiao, Sean Xin Xu, Kunpeng Zhang

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

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

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

Are Diffusion Models Vision-And-Language Reasoners?

Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy

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

Comments Accepted to NeurIPS 2023

Object-Centric Slot Diffusion

Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn

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

Comments Accepted to NeurIPS 2023 as a Spotlight paper

Gaussian Mixture Solvers for Diffusion Models

Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li

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

Comments NeurIPS 2023

Towards High-quality HDR Deghosting with Conditional Diffusion Models

Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang

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

Comments accepted by IEEE TCSVT

De-Diffusion Makes Text a Strong Cross-Modal Interface

Chen Wei, Chenxi Liu, Siyuan Qiao, Zhishuai Zhang, Alan Yuille, Jiahui Yu

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

Comments Technical report. Project page: https://dediffusion.github.io

PTQD: Accurate Post-Training Quantization for Diffusion Models

Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

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

Comments Accepted by NeurIPS 2023

Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback

TaeHo Yoon, Kibeom Myoung, Keon Lee, Jaewoong Cho, Albert No, Ernest K. Ryu

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

Comments Published in NeurIPS 2023

DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion

Johanna Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman

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

Comments Project page: https://grail.cs.washington.edu/projects/dreampose/

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI

Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen

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

Comments 21 pages, 11 figures, 9 tables. Accepted by NeurIPS 2023