ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.03048
  4. Cited By
Exploring Semantic Consistency in Unpaired Image Translation to Generate
  Data for Surgical Applications

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications

6 September 2023
Danush Kumar Venkatesh
Dominik Rivoir
Micha Pfeiffer
F. Kolbinger
Marius Distler
Jürgen Weitz
Stefanie Speidel
    MedIm
ArXivPDFHTML

Papers citing "Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications"

6 / 6 papers shown
Title
Semantic Image Synthesis via Diffusion Models
Semantic Image Synthesis via Diffusion Models
Weilun Wang
Weilun Wang
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
214
175
0
30 Jun 2022
Pretraining is All You Need for Image-to-Image Translation
Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang
Ting Zhang
Bo Zhang
Hao Ouyang
Dong Chen
Qifeng Chen
Fang Wen
DiffM
184
178
0
25 May 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
325
1,584
0
10 Nov 2021
Semantically Robust Unpaired Image Translation for Data with Unmatched
  Semantics Statistics
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics
Zhiwei Jia
Bodi Yuan
Kangkang Wang
Hong Wu
David Clifford
Zhiqiang Yuan
Hao Su
VLM
36
21
0
09 Dec 2020
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,387
0
21 Nov 2016
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
168
835
0
09 Feb 2016
1