Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement

15 February 2024

Papers citing "Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement"

9 / 9 papers shown

Title
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models Ziyi Wu Jingyu Hu Wuyue Lu Igor Gilitschenski Animesh Garg DiffM OCL 56 47 0 18 May 2023
Prompt-to-Prompt Image Editing with Cross Attention Control Amir Hertz Ron Mokady J. Tenenbaum Kfir Aberman Yael Pritch Daniel Cohen-Or DiffM 137 1,746 0 02 Aug 2022
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 101 423 0 30 Nov 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 212 3,621 0 18 Feb 2021
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 73 135 0 07 Jun 2019
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 81 475 0 05 Dec 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 49 1,336 0 16 Feb 2018
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 388 16,962 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 192 12,384 0 24 Jun 2012