Media Summary: Kaizhang Kang, Zimin Chen, Jiaping Wang, Kun Zhou and Hongzhi Wu. State Key Lab of CAD&CG, Zhejiang University ... Zhuo Hui, Kalyan Sunkavalli, Joon-Young Lee, Sunil Hadap, Jian Wang and Aswin C. Sankaranarayanan, ICCV 2017. Kaizhang Kang, Cihui Xie, Chengan He, Mingqi Yi, Minyi Gu, Zimin Chen, Kun Zhou and Hongzhi Wu. State Key Lab of CAD&CG, ...

Efficient Reflectance Capture With A - Detailed Analysis & Overview

Kaizhang Kang, Zimin Chen, Jiaping Wang, Kun Zhou and Hongzhi Wu. State Key Lab of CAD&CG, Zhejiang University ... Zhuo Hui, Kalyan Sunkavalli, Joon-Young Lee, Sunil Hadap, Jian Wang and Aswin C. Sankaranarayanan, ICCV 2017. Kaizhang Kang, Cihui Xie, Chengan He, Mingqi Yi, Minyi Gu, Zimin Chen, Kun Zhou and Hongzhi Wu. State Key Lab of CAD&CG, ... Fourth Workshop on Computer Vision for AR/VR (CV4ARVR) More information at: ... ICCV17 1392 A Lightweight Approach for On-the-Fly In this video you will be introduced to the workflow and best practice for

First Principles of Computer Vision is a lecture series presented by Shree Nayar, T. C. Chang Professor of Computer Science in ... HOLON 3D Advanced optical principles and algorithms can accurately

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[IEEE TVCG] Efficient Reflectance Capture with a Deep Gated Mixture-of-Experts
Efficient Reflectance Capture Using an Autoencoder [ACM SIGGRAPH 2018]
Efficient Reflectance Capture With a Deep Gated Mixture of Experts
MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Reflectance capture using univariate sampling of BRDFs [ICCV 2017]
Learning Efficient Illumination Multiplexing for Joint Capture of Reflectance & Shape[SIGGRAPH Asia]
[IEEE TVCG] Neural Reflectance Capture in the View-Illumination Domain
Improved Lighting Models for Facial Appearance Capture
Head-mounted Augmented Reality for Guided Surface Reflectance Capture (CV4ARVR 2020)
A Lightweight Approach for On-the-Fly Reflectance Estimation
Reflectance Transformation Imaging: Dataset Capturing with Highlight RTI
Reflectance Models | Radiometry and Reflectance
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[IEEE TVCG] Efficient Reflectance Capture with a Deep Gated Mixture-of-Experts

[IEEE TVCG] Efficient Reflectance Capture with a Deep Gated Mixture-of-Experts

We present a novel framework to

Efficient Reflectance Capture Using an Autoencoder [ACM SIGGRAPH 2018]

Efficient Reflectance Capture Using an Autoencoder [ACM SIGGRAPH 2018]

Kaizhang Kang, Zimin Chen, Jiaping Wang, Kun Zhou and Hongzhi Wu. State Key Lab of CAD&CG, Zhejiang University ...

Efficient Reflectance Capture With a Deep Gated Mixture of Experts

Efficient Reflectance Capture With a Deep Gated Mixture of Experts

Efficient Reflectance Capture With a

MaterialGAN: Reflectance Capture using a Generative SVBRDF Model

MaterialGAN: Reflectance Capture using a Generative SVBRDF Model

MaterialGAN:

Reflectance capture using univariate sampling of BRDFs [ICCV 2017]

Reflectance capture using univariate sampling of BRDFs [ICCV 2017]

Zhuo Hui, Kalyan Sunkavalli, Joon-Young Lee, Sunil Hadap, Jian Wang and Aswin C. Sankaranarayanan, ICCV 2017.

Learning Efficient Illumination Multiplexing for Joint Capture of Reflectance & Shape[SIGGRAPH Asia]

Learning Efficient Illumination Multiplexing for Joint Capture of Reflectance & Shape[SIGGRAPH Asia]

Kaizhang Kang, Cihui Xie, Chengan He, Mingqi Yi, Minyi Gu, Zimin Chen, Kun Zhou and Hongzhi Wu. State Key Lab of CAD&CG, ...

[IEEE TVCG] Neural Reflectance Capture in the View-Illumination Domain

[IEEE TVCG] Neural Reflectance Capture in the View-Illumination Domain

We propose a novel framework to

Improved Lighting Models for Facial Appearance Capture

Improved Lighting Models for Facial Appearance Capture

Facial appearance

Head-mounted Augmented Reality for Guided Surface Reflectance Capture (CV4ARVR 2020)

Head-mounted Augmented Reality for Guided Surface Reflectance Capture (CV4ARVR 2020)

Fourth Workshop on Computer Vision for AR/VR (CV4ARVR) More information at: ...

A Lightweight Approach for On-the-Fly Reflectance Estimation

A Lightweight Approach for On-the-Fly Reflectance Estimation

ICCV17 | 1392 | A Lightweight Approach for On-the-Fly

Reflectance Transformation Imaging: Dataset Capturing with Highlight RTI

Reflectance Transformation Imaging: Dataset Capturing with Highlight RTI

In this video you will be introduced to the workflow and best practice for

Reflectance Models | Radiometry and Reflectance

Reflectance Models | Radiometry and Reflectance

First Principles of Computer Vision is a lecture series presented by Shree Nayar, T. C. Chang Professor of Computer Science in ...

The surface of metal is highly reflective and difficult to scan with traditional scanning methods

The surface of metal is highly reflective and difficult to scan with traditional scanning methods

HOLON 3D Advanced optical principles and algorithms can accurately