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Information × Registration Number 2122U006296, Article popup.category Препринт Title Mapping Materials to 3D Texture Field using GANs (AI translated) popup.author Novosad MarkiianNovosad Markiian popup.publication 01-01-2022 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4436 popup.publisher Description 3D Texture Synthesis is a broad research field which lets content creators get visu- ally satisfying look of the 3D object with minimal effort. However it is not so easy to achieve satisfying result coupled with computational efficiency. Many of the pro- posed methods are either computationally expensive and inefficient, or not capable of generating realistic visual appearance. To address this issue, we propose a new method – Mapping 2D Materials to 3D Texture Field using GANs. This method is based on Neural Implicit Representation network, thus able to internally represent a Texture Field without a need for storing additional information. This ability lets our method to be computationally inexpensive, theoretically being able to render the texture in real time. On the other hand, due to Generative Adversarial training strategy, our method is able to achieve highly realistic, visually satisfying looks. In this study we will describe our approach in detail. popup.nrat_date 2025-11-05 Close