27 citations · 96 across the 9 of their papers we have counts for
9 papers
WaveFill: A Wavelet-based Generation Network for Image Inpainting
Yingchen Yu, Fangneng Zhan, Shijian Lu +4
Image inpainting aims to complete the missing or corrupted regions of images with realistic contents. The prevalent approaches adopt a hybrid objective of reconstruction and percep…
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…
Diverse Image Inpainting with Bidirectional and Autoregressive Transformers
Yingchen Yu, Fangneng Zhan, Rongliang Wu +6
Image inpainting is an underdetermined inverse problem, which naturally allows diverse contents to fill up the missing or corrupted regions realistically. Prevalent approaches usin…
SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
Jiapeng Tang, Jiabao Lei, Dan Xu +3
Surface reconstruction from point clouds is a fundamental problem in the computer vision and graphics community. Recent state-of-the-arts solve this problem by individually optimiz…
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…