most citedDiverse Image Inpainting with Bidirectional and Autoregressive Transformers

15 citations · 43 across the 5 of their papers we have counts for

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cs.CV20218 cited

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…

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.CV20217 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.CV202115 cited

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…

cs.CV2021

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…

cs.CV202013 cited

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…