Jun 4, 2021 · In this paper, we propose a deep learning approach for estimating the spatially-varying BRDFs (SVBRDF) from a single image.
This codebase was developed and tested with PyTorch 1.6 and Python 3.6 in both windows and Linux system.
In this paper, we propose a deep learning approach for estimating the spatially-varying BRDFs (SVBRDF) from a single image.Most existing deep learning ...
In this paper, we propose a deep learning approach for estimating the spatially-varying BRDFs (SVBRDF) from a single image. Most existing deep learning ...
Figure 1: We propose a novel adversarial framework to estimate SVBRDF parameters from a single image. We also introduce a simple strategy to train our ...
Adversarial Single‐Image SVBRDF Estimation with Hybrid Training
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In this paper, we propose a novel optimization-based method to estimate the reflectance properties of a near planar surface from a single input image.
Jun 2, 2021 · In this paper, we propose a deep learning approach for estimating the spatially-varying BRDFs (SVBRDF) from a single image.
Adversarial Single-Image SVBRDF Estimation with Hybrid Training Xilong Zhou, Nima Khademi Kalantari Eurographics 2021. [PDF] [Paper Page]. Enhanced adsorption ...
In this paper, we address the task of estimating spatially-varying bi-directional reflectance distribution functions (SVBRDF) of a near-planar surface from ...
In this paper, we propose a deep learning approach for estimating the spatially‐varying BRDFs (SVBRDF) from a single image. Most existing deep learning ...