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An Unsupervised Way to Understand Artifact Generating Internal Units in
  Generative Neural Networks

An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks

16 December 2021
Haedong Jeong
Jiyeon Han
Jaesik Choi
ArXiv (abs)PDFHTML

Papers citing "An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks"

3 / 3 papers shown
Title
Resisting Stochastic Risks in Diffusion Planners with the Trajectory
  Aggregation Tree
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
Lang Feng
Pengjie Gu
Jingyi Wang
Gang Pan
95
4
0
28 May 2024
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic
  Detection of Infeasible Plans
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
Kyowoon Lee
Seongun Kim
Jaesik Choi
DiffM
81
11
0
30 Oct 2023
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using
  Image-to-Image Diffusion Models
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models
Yueqin Yin
Lianghua Huang
Yu Liu
Kaiqiang Huang
DiffM
76
12
0
16 Oct 2022
1