Exploring Diffusion Time-steps for Unsupervised Representation Learning

Exploring Diffusion Time-steps for Unsupervised Representation Learning

21 January 2024

Hanwang Zhang

Papers citing "Exploring Diffusion Time-steps for Unsupervised Representation Learning"

10 / 10 papers shown

Title
Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality Pramook Khungurn Sukit Seripanitkarn Phonphrm Thawatdamrongkit Supasorn Suwajanakorn DiffM 70 0 0 30 Apr 2025
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards Zijing Hu Fengda Zhang Long Chen Kun Kuang Jiahui Li Kaifeng Gao Jun Xiao X. Wang Wenwu Zhu EGVM 51 0 0 14 Mar 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 60 0 0 12 Mar 2025
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 46 3 0 29 May 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
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 46 6 0 15 Mar 2024
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing Wonjun Kang Kevin Galim Hyung Il Koo DiffM 31 5 0 14 Mar 2024
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 158 192 0 01 Mar 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,800 0 18 May 2015