Analyzing and Improving the Training Dynamics of Diffusion Models

5 December 2023

Papers citing "Analyzing and Improving the Training Dynamics of Diffusion Models"

23 / 123 papers shown

Title
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Patrick Esser Sumith Kulal A. Blattmann Rahim Entezari Jonas Muller ... Zion English Kyle Lacey Alex Goodwin Yannik Marek Robin Rombach DiffM 103 1,071 0 05 Mar 2024
Rethinking cluster-conditioned diffusion models Nikolas Adaloglou Tim Kaiser Félix D. P. Michels M. Kollmann VLM 37 3 0 01 Mar 2024
On the Challenges and Opportunities in Generative AI Laura Manduchi Kushagra Pandey Robert Bamler Ryan Cotterell Sina Daubener ... F. Wenzel Frank Wood Stephan Mandt Vincent Fortuin Vincent Fortuin 56 17 0 28 Feb 2024
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling Jiajun Ma Shuchen Xue Tianyang Hu Wenjia Wang Zhaoqiang Liu Zhenguo Li Zhi-Ming Ma Kenji Kawaguchi 45 5 0 23 Feb 2024
Switch EMA: A Free Lunch for Better Flatness and Sharpness Siyuan Li Zicheng Liu Juanxi Tian Ge Wang Zedong Wang ... Cheng Tan Tao Lin Yang Liu Baigui Sun Stan Z. Li 30 6 0 14 Feb 2024
Blue noise for diffusion models Xingchang Huang Corentin Salaün C. N. Vasconcelos Christian Theobalt Cengiz Öztireli Gurprit Singh DiffM 32 6 0 07 Feb 2024
Diffusion Model with Perceptual Loss Shanchuan Lin Xiao Yang DiffM 30 15 0 30 Dec 2023
Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation Lokesh Veeramacheneni Moritz Wolter Hildegard Kuehne Juergen Gall EGVM 30 3 0 23 Dec 2023
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 53 5 0 16 Dec 2023
FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model Yunxiang Li H. Shao Xiaoxue Qian You Zhang MedIm DiffM 25 4 0 19 Nov 2023
Tweedie Moment Projected Diffusions For Inverse Problems Benjamin Boys M. Girolami Jakiw Pidstrigach Sebastian Reich Alan Mosca O. Deniz Akyildiz MedIm 26 26 0 10 Oct 2023
Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks Atli Kosson Bettina Messmer Martin Jaggi 35 11 0 26 May 2023
Diffusion Language Models Generation Can Be Halted Early Sofia Maria Lo Cicero Vaina Nikita Balagansky Daniil Gavrilov DiffM 49 0 0 18 May 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 490 0 01 Feb 2022
Impact of Aliasing on Generalization in Deep Convolutional Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Rob Romijnders Nicolas Le Roux Ross Goroshin OOD 74 33 0 07 Aug 2021
Learning by Turning: Neural Architecture Aware Optimisation Yang Liu Jeremy Bernstein M. Meister Yisong Yue ODL 41 26 0 14 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics D. Kunin Javier Sagastuy-Breña Surya Ganguli Daniel L. K. Yamins Hidenori Tanaka 107 77 0 08 Dec 2020
On the distance between two neural networks and the stability of learning Jeremy Bernstein Arash Vahdat Yisong Yue Xuan Li ODL 200 57 0 09 Feb 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 309 75,834 0 18 May 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012