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Self-Correcting Self-Consuming Loops for Generative Model Training

Self-Correcting Self-Consuming Loops for Generative Model Training

11 February 2024
Nate Gillman
Michael Freeman
Daksh Aggarwal
Chia-Hong Hsu
Calvin Luo
Yonglong Tian
Chen Sun
ArXivPDFHTML

Papers citing "Self-Correcting Self-Consuming Loops for Generative Model Training"

5 / 5 papers shown
Title
Position: Model Collapse Does Not Mean What You Think
Position: Model Collapse Does Not Mean What You Think
Rylan Schaeffer
Joshua Kazdan
Alvan Caleb Arulandu
Sanmi Koyejo
71
0
0
05 Mar 2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
Nayoung Lee
Ziyang Cai
Avi Schwarzschild
Kangwook Lee
Dimitris Papailiopoulos
ReLM
VLM
LRM
AI4CE
83
4
0
03 Feb 2025
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World
Joshua Kazdan
Rylan Schaeffer
Apratim Dey
Matthias Gerstgrasser
Rafael Rafailov
D. Donoho
Sanmi Koyejo
53
11
0
22 Oct 2024
Self-correcting LLM-controlled Diffusion Models
Self-correcting LLM-controlled Diffusion Models
Tsung-Han Wu
Long Lian
Joseph E. Gonzalez
Boyi Li
Trevor Darrell
67
53
0
27 Nov 2023
Human Motion Diffusion Model
Human Motion Diffusion Model
Guy Tevet
Sigal Raab
Brian Gordon
Yonatan Shafir
Daniel Cohen-Or
Amit H. Bermano
DiffM
VGen
223
724
0
29 Sep 2022
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