Unsupervised Representation Learning from Pre-trained Diffusion
Probabilistic Models

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models

26 December 2022

Zhou Zhao

Papers citing "Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models"

9 / 9 papers shown

Title
Towards Dynamic Neural Communication and Speech Neuroprosthesis Based on Viseme Decoding Ji-Ha Park Seo-Hyun Lee Soowon Kim Seong-Whan Lee 39 0 0 28 Jan 2025
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
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 2 0 29 Feb 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 30 1 0 05 Jan 2024
High-Fidelity Diffusion-based Image Editing Chen Hou Guoqiang Wei Zhibo Chen DiffM 23 3 0 25 Dec 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 42 11 0 29 Jan 2023
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 172 711 0 02 Mar 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,542 0 25 Jan 2016