Estimating Physically-Based Reflectance Parameters From a Single Image With GAN-Guided CNN

Estimating Physically-Based Reflectance Parameters From a Single Image With GAN-Guided CNN

We present a method that estimates the physically accurate reflectance of materials from a single image and reproduces real world materials which can be used in well-known graphics engines and tools. Recovering the BRDF (bidirectional reflectance distribution function) from a single image is an ill-...

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Bibliographic Details
Main Authors: Chi-Hyoung Rhee, Chang Ha Lee
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Physically-based rendering
BRDF estimation
artificial intelligence
convolutional neural networks
generative adversarial networks
supervised learning
Online Access:https://ieeexplore.ieee.org/document/9696243/

Internet

https://ieeexplore.ieee.org/document/9696243/

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