Self-Improving Diffusion Models with Synthetic Data

29 August 2024

Papers citing "Self-Improving Diffusion Models with Synthetic Data"

21 / 21 papers shown

Title
Machine-generated text detection prevents language model collapse George Drayson Emine Yilmaz Vasileios Lampos DeLMO 163 1 0 21 Feb 2025
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling Nannan Li Kevin J. Shih Bryan A. Plummer DiffM 125 0 0 08 Jan 2025
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold Amrith Rajagopal Setlur Saurabh Garg Xinyang Geng Naman Garg Virginia Smith Aviral Kumar 94 55 0 20 Jun 2024
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data Matthias Gerstgrasser Rylan Schaeffer Apratim Dey Rafael Rafailov Henry Sleight ... Andrey Gromov Daniel A. Roberts Diyi Yang D. Donoho Oluwasanmi Koyejo 95 67 0 01 Apr 2024
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance Donghoon Ahn Hyoungwon Cho Jaewon Min Wooseok Jang Jungwoo Kim SeonHwa Kim Hyun Hee Park Kyong Hwan Jin Seungryong Kim DiffM 54 35 0 26 Mar 2024
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias Sierra Wyllie Ilia Shumailov Nicolas Papernot 78 30 0 12 Mar 2024
On the Stability of Iterative Retraining of Generative Models on their own Data Quentin Bertrand A. Bose Alexandre Duplessis Marco Jiralerspong Gauthier Gidel 108 50 0 30 Sep 2023
Self-Consuming Generative Models Go MAD Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 91 156 0 04 Jul 2023
Scalable Adaptive Computation for Iterative Generation Allan Jabri David Fleet Ting-Li Chen DiffM 74 115 0 22 Dec 2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models Dongjun Kim Yeongmin Kim Se Jung Kwon Wanmo Kang Il-Chul Moon DiffM 92 89 0 28 Nov 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 196 3,963 0 26 Jul 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 215 2,022 0 01 Jun 2022
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk 56 32 0 03 Mar 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 268 512 0 01 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 493 15,734 0 20 Dec 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 69 686 0 10 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 268 7,938 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 353 6,566 0 26 Nov 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 170 1,887 0 11 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 Jul 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 617 10,590 0 12 Dec 2018