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20212023
most citedRecurrent Video Restoration Transformer with Guided Deformable Attention

81 citations · 145 across the 10 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022

FSID: Fully Synthetic Image Denoising via Procedural Scene Generation

Gyeongmin Choe, Beibei Du, Seonghyeon Nam +3

For low-level computer vision and image processing ML tasks, training on large datasets is critical for generalization. However, the standard practice of relying on real-world imag…

cs.CV2022★ 81 cited

Recurrent Video Restoration Transformer with Guided Deformable Attention

Jingyun Liang, Yuchen Fan, Xiaoyu Xiang +7

Video restoration aims at restoring multiple high-quality frames from multiple low-quality frames. Existing video restoration methods generally fall into two extreme cases, i.e., t…

cs.CV2022

HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars

Xiaoyu Xiang, Jon Morton, Fitsum A Reda +6

A promising direction for recovering the lost information in low-resolution headshot images is utilizing a set of high-resolution exemplars from the same identity. Complementary im…

cs.CV2022

Learning Spatio-Temporal Downsampling for Effective Video Upscaling

Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan +3

Downsampling is one of the most basic image processing operations. Improper spatio-temporal downsampling applied on videos can cause aliasing issues such as moiré patterns in space…

cs.CV2022★ 34 cited

STDAN: Deformable Attention Network for Space-Time Video Super-Resolution

Hai Wang, Xiaoyu Xiang, Yapeng Tian +2

The target of space-time video super-resolution (STVSR) is to increase the spatial-temporal resolution of low-resolution (LR) and low frame rate (LFR) videos. Recent approaches bas…