13 citations · 36 across the 7 of their papers we have counts for
12 papers
Auto-regressive Image Synthesis with Integrated Quantization
Fangneng Zhan, Yingchen Yu, Rongliang Wu +4
Deep generative models have achieved conspicuous progress in realistic image synthesis with multifarious conditional inputs, while generating diverse yet high-fidelity images remai…
Marginal Contrastive Correspondence for Guided Image Generation
Fangneng Zhan, Yingchen Yu, Rongliang Wu +3
Exemplar-based image translation establishes dense correspondences between a conditional input and an exemplar (from two different domains) for leveraging detailed exemplar styles…
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…
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…
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…
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…