Inverse Rendering of Translucent Objects using Physical and Neural Renderers

Author:

Li Chenhao1,Ngo Trung Thanh1,Nagahara Hajime1

Affiliation:

1. Institute for Datability Science, Osaka University

Publisher

IEEE

Reference74 articles.

1. Cyclegan, a master of steganography;chu;ArXiv Preprint,2017

2. Neural Scene De-rendering

3. Dib-r++: Learning to predict lighting and material with a hybrid differentiable renderer;chen;Advances in neural information processing systems,2021

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5. Single-image SVBRDF capture with a rendering-aware deep network

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1. NeuralTO: Neural Reconstruction and View Synthesis of Translucent Objects;ACM Transactions on Graphics;2024-07-19

2. Navigating the Manifold of Translucent Appearance;Computer Graphics Forum;2024-04-27

3. SPLiT: Single Portrait Lighting Estimation via a Tetrad of Face Intrinsics;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-02

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