33 citations · 129 across the 12 of their papers we have counts for
11 papers · 1 filter
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…
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…
EMLight: Lighting Estimation via Spherical Distribution Approximation
Fangneng Zhan, Changgong Zhang, Yingchen Yu +4
Illumination estimation from a single image is critical in 3D rendering and it has been investigated extensively in the computer vision and computer graphic research community. On…
Adversarial Image Composition with Auxiliary Illumination
Fangneng Zhan, Shijian Lu, Changgong Zhang +2
Dealing with the inconsistency between a foreground object and a background image is a challenging task in high-fidelity image composition. State-of-the-art methods strive to harmo…
Towards Realistic 3D Embedding via View Alignment
Changgong Zhang, Fangneng Zhan, Shijian Lu +2
Recent advances in generative adversarial networks (GANs) have achieved great success in automated image composition that generates new images by embedding interested foreground ob…
Scene Text Synthesis for Efficient and Effective Deep Network Training
Changgong Zhang, Fangneng Zhan, Hongyuan Zhu +1
A large amount of annotated training images is critical for training accurate and robust deep network models but the collection of a large amount of annotated training images is of…