DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models

31 January 2023

Papers citing "DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models"

9 / 9 papers shown

Title
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 66 0 0 12 Mar 2025
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 29 0 0 07 Oct 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 44 2 0 27 May 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation Dongxu Yue Qin Guo Munan Ning Jiaxi Cui Yuesheng Zhu Liuliang Yuan DiffM 29 11 0 24 May 2023
Disentangled Representation Learning Xin Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 35 78 0 21 Nov 2022
NashAE: Disentangling Representations through Adversarial Covariance Minimization Eric C. Yeats Frank Liu David A. P. Womble Hai Helen Li CML 38 10 0 21 Sep 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 224 1,355 0 24 Jan 2022
High-Fidelity GAN Inversion for Image Attribute Editing Tengfei Wang Yong Zhang Yanbo Fan Jue Wang Qifeng Chen DiffM 208 247 0 14 Sep 2021