C-VTON: Context-Driven Image-Based Virtual Try-On Network

Author:

Fele Benjamin1,Lampe Ajda1,Peer Peter2,Struc Vitomir1

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

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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1. Anonymizing at-home fitness: enhancing privacy and motivation with virtual reality and try-on;Frontiers in Public Health;2023-12-19

2. Cloth Interactive Transformer for Virtual Try-On;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-12-11

3. Virtual Garment Fitting Through Parsing and Context-Aware Generative Adversarial Networks with Discriminator Group;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

4. LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Self-Adaptive Clothing Mapping Based Virtual Try-on;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-10-23

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