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20192022
most citedScene Text Synthesis for Efficient and Effective Deep Network Training

33 citations · 129 across the 12 of their papers we have counts for

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Showing 2021 · cs.CVShow all

5 papers · 2 filters

cs.CV2021★ 6 cited

Conditional Directed Graph Convolution for 3D Human Pose Estimation

Wenbo Hu, Changgong Zhang, Fangneng Zhan +2

Graph convolutional networks have significantly improved 3D human pose estimation by representing the human skeleton as an undirected graph. However, this representation fails to r…

cs.CV2021

Sparse Needlets for Lighting Estimation with Spherical Transport Loss

Fangneng Zhan, Changgong Zhang, Wenbo Hu +4

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

cs.CV2021★ 7 cited

Unbalanced Feature Transport for Exemplar-based Image Translation

Fangneng Zhan, Yingchen Yu, Kaiwen Cui +7

Despite the great success of GANs in images translation with different conditioned inputs such as semantic segmentation and edge maps, generating high-fidelity realistic images wit…

cs.CV2021★ 8 cited

Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting

Changgong Zhang, Fangneng Zhan, Yuan Chang

The 3D pose estimation from a single image is a challenging problem due to depth ambiguity. One type of the previous methods lifts 2D joints, obtained by resorting to external 2D p…

cs.CV2021★ 27 cited

GMLight: Lighting Estimation via Geometric Distribution Approximation

Fangneng Zhan, Yingchen Yu, Changgong Zhang +6

Inferring the scene illumination from a single image is an essential yet challenging task in computer vision and computer graphics. Existing works estimate lighting by regressing r…