Isometric Representation Learning for Disentangled Latent Space of Diffusion Models

16 July 2024

Junho Lee

Joonseok Lee

Papers citing "Isometric Representation Learning for Disentangled Latent Space of Diffusion Models"

33 / 33 papers shown

Title
TIDE : Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation Victor Shea-Jay Huang Le Zhuo Yi Xin Zhaokai Wang Peng Gao Hongsheng Li DiffM 158 1 0 10 Mar 2025
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Bartosz Cywiński Kamil Deja DiffM 122 9 0 29 Jan 2025
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry Yong-Hyun Park Mingi Kwon J. Choi Junghyo Jo Youngjung Uh DiffM 98 72 0 24 Jul 2023
Scalable Diffusion Models with Transformers William S. Peebles Saining Xie GNN 97 2,386 0 19 Dec 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 162 1,540 0 05 Oct 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman 279 2,885 0 25 Aug 2022
Prompt-to-Prompt Image Editing with Cross Attention Control Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 200 1,789 0 02 Aug 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 413 6,897 0 13 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 463 15,665 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 364 3,627 0 20 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 121 433 0 30 Nov 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 244 7,933 0 11 May 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 350 6,551 0 26 Nov 2020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE Ding Zhou Xue-Xin Wei DRL 239 83 0 09 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 289 7,454 0 06 Oct 2020
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows Rameen Abdal Peihao Zhu Niloy Mitra Peter Wonka 86 534 0 06 Aug 2020
Closed-Form Factorization of Latent Semantics in GANs Yujun Shen Bolei Zhou GAN 114 591 0 13 Jul 2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs Yujun Shen Ceyuan Yang Xiaoou Tang Bolei Zhou GAN CVBM 68 599 0 18 May 2020
GANSpace: Discovering Interpretable GAN Controls Erik Härkönen Aaron Hertzmann J. Lehtinen Sylvain Paris 123 902 0 06 Apr 2020
Learning Flat Latent Manifolds with VAEs Nutan Chen Alexej Klushyn Francesco Ferroni Justin Bayer Patrick van der Smagt DRL 59 42 0 12 Feb 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 306 5,823 0 03 Dec 2019
Interpreting the Latent Space of GANs for Semantic Face Editing Yujun Shen Jinjin Gu Xiaoou Tang Bolei Zhou CVBM GAN 117 1,121 0 25 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,954 0 12 Jul 2019
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 39 48 0 22 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 596 10,590 0 12 Dec 2018
IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis Huaibo Huang Zhihang Li Ran He Zhenan Sun Tieniu Tan DRL 51 266 0 17 Jul 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,356 0 16 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 377 11,877 0 11 Jan 2018
Latent Space Oddity: on the Curvature of Deep Generative Models Georgios Arvanitidis Lars Kai Hansen Søren Hauberg DRL 110 270 0 31 Oct 2017
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 159 4,237 0 12 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 266 14,018 0 19 Nov 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,005 0 12 Mar 2015
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 269 12,456 0 24 Jun 2012