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. 2403.13951
  4. Cited By
ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual
  Try-On

ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On

20 March 2024
Jeffrey Zhang
Kedan Li
Shao-Yu Chang
David Forsyth
    DiffM
ArXivPDFHTML

Papers citing "ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On"

4 / 4 papers shown
Title
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Davide Morelli
Alberto Baldrati
Giuseppe Cartella
Marcella Cornia
Marco Bertini
Rita Cucchiara
DiffM
55
100
0
22 May 2023
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled
  Conditions
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
Sangyun Lee
Gyojung Gu
S. Park
Seunghwan Choi
Jaegul Choo
DiffM
64
128
0
28 Jun 2022
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors
ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors
Ayush Chopra
Rishabh Jain
Mayur Hemani
Balaji Krishnamurthy
3DH
75
55
0
14 Sep 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,770
0
18 May 2015
1