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DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

2 January 2022

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Papers citing "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

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Title
Diffusion Counterfactual Generation with Semantic Abduction Rajat Rasal Avinash Kori Fabio De Sousa Ribeiro Tian Xia Ben Glocker DiffM 31 0 0 09 Jun 2025
VIVAT: Virtuous Improving VAE Training through Artifact Mitigation Lev Novitskiy Viacheslav Vasilev Maria Kovaleva V. Arkhipkin Denis Dimitrov VGen 23 0 0 09 Jun 2025
On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning Magdalena Proszewska Nikolay Malkin N. Siddharth DiffM 46 0 0 30 May 2025
Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models Mikhail Chaichuk Sushant Gautam Steven A. Hicks Elena Tutubalina DiffM MedIm 126 0 0 08 May 2025
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality Pramook Khungurn Sukit Seripanitkarn Phonphrm Thawatdamrongkit Supasorn Suwajanakorn DiffM 126 0 0 30 Apr 2025
SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification Xiang Hu Pingping Zhang Yuhao Wang Bin Yan Huchuan Lu 62 0 0 13 Apr 2025
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior Ching Hua Lee Chouchang Yang Jaejin Cho Yashas Malur Saidutta R. S. Srinivasa Yilin Shen Hongxia Jin DiffM 155 0 0 19 Feb 2025
PQD: Post-training Quantization for Efficient Diffusion Models Jiaojiao Ye Zhen Wang Linnan Jiang MQ 81 0 0 03 Jan 2025
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement Chengyou Jia Minnan Luo Zhuohang Dang Guangwen Dai Xiao Chang Jiangming Wang DiffM 134 1 0 31 Dec 2024
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy Shaoyan Pan Yikang Liu Lin Zhao Eric Z. Chen Xiao Chen Terrence Chen Shanhui Sun VGen MedIm 198 0 0 20 Dec 2024
Unpicking Data at the Seams: Understanding Disentanglement in VAEs Carl Allen CML CoGe 120 0 0 29 Oct 2024
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? Jiahua Dong Wenqi Liang Hongliu Li Duzhen Zhang Meng Cao Henghui Ding Salman Khan Fahad Shahbaz Khan DiffM 90 13 0 23 Oct 2024
Hierarchical Clustering for Conditional Diffusion in Image Generation Jorge da Silva Goncalves Laura Manduchi Moritz Vandenhirtz Julia E. Vogt DiffM 71 0 0 22 Oct 2024
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation Bo Cheng Yuhang Ma Liebucha Wu Shanyuan Liu Ao Ma Xiaoyu Wu Dawei Leng Yuhui Yin DiffM 64 13 0 18 Oct 2024
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion Yu Cao Shaogang Gong DiffM 89 2 0 09 Jul 2024
Structured Generations: Using Hierarchical Clusters to guide Diffusion Models Jorge da Silva Goncalves Laura Manduchi Moritz Vandenhirtz Julia E. Vogt DiffM 56 1 0 08 Jul 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 140 0 0 21 Jun 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 229 42 0 17 Jun 2024
Fast Samplers for Inverse Problems in Iterative Refinement Models Kushagra Pandey Ruihan Yang Stephan Mandt DiffM 105 5 0 27 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 138 2 0 27 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang ... Bin Yang Zenglin Xu Jiang Bian Shirui Pan Qingsong Wen DiffM AI4TS SyDa 132 45 0 29 Apr 2024
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models Aneesh Komanduri Chengli Zhao Feng Chen Xintao Wu CML DiffM 93 8 0 27 Apr 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI Tanja Sarcevic Alicja Karlowicz Rudolf Mayer Ricardo A. Baeza-Yates Andreas Rauber 103 7 0 22 Apr 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation Mingyuan Zhou Huangjie Zheng Zhendong Wang Mingzhang Yin Hai Huang DiffM 143 69 0 05 Apr 2024
TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions Maytus Piriyajitakonkij Mingfei Sun Mengmi Zhang Wei Pan ViT 113 1 0 04 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 301 22 0 28 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 80 8 0 07 Feb 2024
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET Ravi Hassanaly Camille Brianceau Maelys Solal O. Colliot Ninon Burgos MedIm 82 8 0 29 Jan 2024
Diffusion Models, Image Super-Resolution And Everything: A Survey Brian B. Moser Arundhati S. Shanbhag Federico Raue Stanislav Frolov Sebastián M. Palacio Andreas Dengel 108 41 0 01 Jan 2024
Compensation Sampling for Improved Convergence in Diffusion Models Hui Lu A. A. Salah Ronald Poppe 92 1 0 11 Dec 2023
Orthogonal Adaptation for Modular Customization of Diffusion Models Ryan Po Guandao Yang Kfir Aberman Gordon Wetzstein DiffM 89 30 0 05 Dec 2023
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation Chenliang Zhou Fangcheng Zhong Param Hanji Zhilin Guo Kyle Fogarty Alejandro Sztrajman Hongyun Gao Cengiz Öztireli 101 3 0 20 Nov 2023
Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET Maelys Solal Ravi Hassanaly Ninon Burgos 87 2 0 20 Nov 2023
The Missing U for Efficient Diffusion Models Sergio Calvo-Ordoñez Chun-Wun Cheng Jiahao Huang Lipei Zhang Guang Yang Carola-Bibiane Schonlieb Angelica I Aviles-Rivero DiffM 104 4 0 31 Oct 2023
Scene Graph Conditioning in Latent Diffusion Frank Fundel DiffM 61 0 0 16 Oct 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng Zhendong Wang Jianbo Yuan Guanghan Ning Pengcheng He Quanzeng You Hongxia Yang Mingyuan Zhou 84 12 0 10 Oct 2023
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures Wenhao Li Xiu Su Shan You Fei Wang Chao Qian Chang Xu 101 7 0 07 Oct 2023
ACT-Net: Anchor-context Action Detection in Surgery Videos Luoying Hao Yan Hu Wenjun Lin Qun Wang Heng Li Huazhu Fu Jinming Duan Jiang-Dong Liu MedIm 95 3 0 05 Oct 2023
Mirror Diffusion Models for Constrained and Watermarked Generation Guan-Horng Liu T. Chen Evangelos A. Theodorou Molei Tao DiffM 79 23 0 02 Oct 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 95 13 0 14 Sep 2023
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation Yi Leng Qiangjuan Huang Zhiyuan Wang Yangyang Liu Haoyu Zhang DiffM 73 5 0 12 Jul 2023
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion Long Bai Tong Chen Yanan Wu An-Chi Wang Mobarakol Islam Hongliang Ren DiffM MedIm 97 18 0 05 Jul 2023
Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction Majed El Helou DiffM 60 0 0 26 Jun 2023
On the Design Fundamentals of Diffusion Models: A Survey Ziyi Chang George Alex Koulieris Hyung Jin Chang Hubert P. H. Shum DiffM 186 56 0 07 Jun 2023
DiffSketching: Sketch Control Image Synthesis with Diffusion Models Qiang Wang Di Kong Fengyin Lin Yonggang Qi DiffM 84 14 0 30 May 2023
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 ... Shuning Chang Wei Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 148 178 0 29 May 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation Giorgio Giannone Akash Srivastava Ole Winther Faez Ahmed DiffM AI4CE 99 36 0 29 May 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 87 39 0 17 May 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning Cheng Lu Huayu Chen Jianfei Chen Hang Su Chongxuan Li Jun Zhu DiffM OffRL 147 75 0 25 Apr 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 86 2 0 08 Apr 2023