C-VTON: Context-Driven Image-Based Virtual Try-On Network
Author:
Affiliation:
1. University of Ljubljana,Faculty of Electrical Engineering,Ljubljana,Slovenia,SI-1000
2. University of Ljubljana,Faculty of Computer and Information Science,Ljubljana,Slovenia,SI-1000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9706406/9706408/09706864.pdf?arnumber=9706864
Reference37 articles.
1. You Only Need Adversarial Supervision for Semantic Image Synthesis;sushko;International Conference on Learning Representations (ICLR),2020
2. Very Deep Convolutional Networks for Large-Scale Image Recognition;simonyan;International Conference on Learning Representations (ICLR),2015
3. You only Need Adversarial Supervision for Semantic Image Synthesis;schönfeld;International Conference on Learning Representations (ICLR),2021
4. Learning‐Based Animation of Clothing for Virtual Try‐On
5. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
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4. LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
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