Self-Improving Diffusion Models with Synthetic Data

Self-Improving Diffusion Models with Synthetic Data

29 August 2024

Sina Alemohammad

Ahmed Imtiaz Humayun

John Collomosse

Richard G. Baraniuk

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

12 / 12 papers shown

Title
Self-Consuming Generative Models with Adversarially Curated Data Xiukun Wei Xueru Zhang WIGM 39 0 0 14 May 2025
Delving into: the quantification of Ai-generated content on the internet (synthetic data) Dirk HR Spennemann DeLMO 48 0 0 29 Mar 2025
PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models Zilu Guo Hongbin Lin Zhihao Yuan C. Zheng Pengshuo Qiu Dongzhi Jiang Renrui Zhang Chun-Mei Feng Zhen Li MLLM 3DV 87 1 0 13 Mar 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops Shi Fu Yingjie Wang Yuzhu Chen Xinmei Tian Dacheng Tao 53 1 0 26 Feb 2025
Machine-generated text detection prevents language model collapse George Drayson Emine Yilmaz Vasileios Lampos DeLMO 62 0 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 54 0 0 08 Jan 2025
The Unreasonable Effectiveness of Guidance for Diffusion Models Tim Kaiser Nikolas Adaloglou M. Kollmann DiffM 30 0 0 15 Nov 2024
Universality of the $π^2/6$ Pathway in Avoiding Model Collapse Apratim Dey D. Donoho 58 5 0 30 Oct 2024
Strong Model Collapse Elvis Dohmatob Yunzhen Feng Arjun Subramonian Julia Kempe 28 9 0 07 Oct 2024
Model Collapse Demystified: The Case of Regression Elvis Dohmatob Yunzhen Feng Julia Kempe 39 32 0 12 Feb 2024
Self-Correcting Self-Consuming Loops for Generative Model Training Nate Gillman Michael Freeman Daksh Aggarwal Chia-Hong Hsu Calvin Luo Yonglong Tian Chen Sun 35 13 0 11 Feb 2024
RoSteALS: Robust Steganography using Autoencoder Latent Space Tu Bui Shrutina Agarwal Ning Yu John Collomosse 32 39 0 06 Apr 2023