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

2 January 2022

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

29 / 29 papers shown

Title
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality Pramook Khungurn Sukit Seripanitkarn Phonphrm Thawatdamrongkit Supasorn Suwajanakorn DiffM 68 0 0 30 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 80 0 0 19 Feb 2025
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement Chengyou Jia Minnan Luo Zhuohang Dang Guangwen Dai Xiao Chang J. Wang DiffM 47 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 90 0 0 20 Dec 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 38 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 70 30 0 17 Jun 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 42 2 0 27 May 2024
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models Aneesh Komanduri Chengli Zhao Feng Chen Xintao Wu CML DiffM 30 4 0 27 Apr 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 56 17 0 28 Feb 2024
Orthogonal Adaptation for Modular Customization of Diffusion Models Ryan Po Guandao Yang Kfir Aberman Gordon Wetzstein DiffM 23 26 0 05 Dec 2023
Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET Maelys Solal Ravi Hassanaly Ninon Burgos 19 2 0 20 Nov 2023
Scene Graph Conditioning in Latent Diffusion Frank Fundel DiffM 25 0 0 16 Oct 2023
DiffuseGAE: Controllable and High-fidelity Image Manipulation from Disentangled Representation Yi Leng Qiangjuan Huang Zhiyuan Wang Yangyang Liu Haoyu Zhang DiffM 16 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 23 19 0 05 Jul 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 Yu Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 27 166 0 29 May 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 19 1 0 08 Apr 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 24 501 0 07 Mar 2023
Representation Learning with Diffusion Models Jeremias Traub DiffM 17 8 0 20 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 38 104 0 11 Oct 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 13 8 0 14 Sep 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis Wanshu Fan Yen-Chun Chen Dongdong Chen Yu Cheng Lu Yuan Yu-Chiang Frank Wang DiffM 15 90 0 29 Aug 2022
Lossy Compression with Gaussian Diffusion Lucas Theis Tim Salimans Matthew D. Hoffman Fabian Mentzer DiffM 28 77 0 17 Jun 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 28 107 0 15 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 171 49 0 30 May 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis Yichong Leng Zehua Chen Junliang Guo Haohe Liu Jiawei Chen ... Lei He Xiang-Yang Li Tao Qin Sheng Zhao Tie-Yan Liu DiffM 51 58 0 30 May 2022
Diffusion Probabilistic Modeling for Video Generation Ruihan Yang Prakhar Srivastava Stephan Mandt DiffM VGen 27 255 0 16 Mar 2022
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 175 719 0 02 Mar 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 184 259 0 07 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018