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. 2403.18425
  4. Cited By
U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models

U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models

27 March 2024
Ilias Mitsouras
Eleftherios Tsonis
Paraskevi Tzouveli
Athanasios Voulodimos
    DiffM
ArXivPDFHTML

Papers citing "U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models"

3 / 3 papers shown
Title
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
514
0
06 Dec 2021
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
19,447
0
21 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
294
75,800
0
18 May 2015
1