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. 1904.04751
  4. Cited By
User-Controllable Multi-Texture Synthesis with Generative Adversarial
  Networks
v1v2 (latest)

User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks

9 April 2019
Aibek Alanov
Max Kochurov
Denis Volkhonskiy
D. Yashkov
Evgeny Burnaev
Dmitry Vetrov
    GAN
ArXiv (abs)PDFHTML

Papers citing "User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks"

3 / 3 papers shown
Title
A geometrically aware auto-encoder for multi-texture synthesis
A geometrically aware auto-encoder for multi-texture synthesis
Pierrick Chatillon
Y. Gousseau
S. Lefebvre
3DV
58
4
0
03 Feb 2023
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed
  Convolution Filter
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
Guilin Liu
Rohan Taori
Ting-Chun Wang
Zhiding Yu
Shiqiu Liu
F. Reda
Karan Sapra
Andrew Tao
Bryan Catanzaro
DiffM
46
16
0
14 Jul 2020
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
Tiziano Portenier
Siavash Bigdeli
O. Goksel
3DV
48
27
0
29 Jun 2020
1