Search Results for author: Changgong Zhang

Found 10 papers, 1 papers with code

Conditional Directed Graph Convolution for 3D Human Pose Estimation

no code implementations16 Jul 2021 WenBo Hu, Changgong Zhang, Fangneng Zhan, Lei Zhang, Tien-Tsin Wong

Based on this representation, we further propose a spatial-temporal conditional directed graph convolution to leverage varying non-local dependence for different poses by conditioning the graph topology on input poses.

3D Human Pose Estimation

Sparse Needlets for Lighting Estimation with Spherical Transport Loss

no code implementations ICCV 2021 Fangneng Zhan, Changgong Zhang, WenBo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao

Accurate lighting estimation is challenging yet critical to many computer vision and computer graphics tasks such as high-dynamic-range (HDR) relighting.

GMLight: Lighting Estimation via Geometric Distribution Approximation

1 code implementation20 Feb 2021 Fangneng Zhan, Yingchen Yu, Rongliang Wu, Changgong Zhang, Shijian Lu, Ling Shao, Feiying Ma, Xuansong Xie

This paper presents Geometric Mover's Light (GMLight), a lighting estimation framework that employs a regression network and a generative projector for effective illumination estimation.

EMLight: Lighting Estimation via Spherical Distribution Approximation

no code implementations21 Dec 2020 Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu, Feiying Ma, Xuansong Xie

Motivated by the Earth Mover distance, we design a novel spherical mover's loss that guides to regress light distribution parameters accurately by taking advantage of the subtleties of spherical distribution.

Adversarial Image Composition with Auxiliary Illumination

no code implementations17 Sep 2020 Fangneng Zhan, Shijian Lu, Changgong Zhang, Feiying Ma, Xuansong Xie

State-of-the-art methods strive to harmonize the composed image by adapting the style of foreground objects to be compatible with the background image, whereas the potential shadow of foreground objects within the composed image which is critical to the composition realism is largely neglected.

Towards Realistic 3D Embedding via View Alignment

no code implementations14 Jul 2020 Fangneng Zhan, Shijian Lu, Changgong Zhang, Feiying Ma, Xuansong Xie

Recent advances in generative adversarial networks (GANs) have achieved great success in automated image composition that generates new images by embedding interested foreground objects into background images automatically.

Spatial-Aware GAN for Unsupervised Person Re-identification

no code implementations26 Nov 2019 Fangneng Zhan, Changgong Zhang

The recent person re-identification research has achieved great success by learning from a large number of labeled person images.

Unsupervised Domain Adaptation Unsupervised Person Re-Identification

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