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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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9 papers · 1 filter

cs.CV2023

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis

Ziyu Wan, Christian Richardt, Aljaž Božič +8

Neural radiance fields (NeRFs) enable novel view synthesis with unprecedented visual quality. However, to render photorealistic images, NeRFs require hundreds of deep multilayer pe…

cs.CV2023★ 18 cited

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

Yawei Li, Yuchen Fan, Xiaoyu Xiang +4

The aim of this paper is to propose a mechanism to efficiently and explicitly model image hierarchies in the global, regional, and local range for image restoration. To achieve tha…

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…

cs.CV2021★ 7 cited

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

Xiaoyu Xiang, Yapeng Tian, Yulun Zhang +3

In this paper, we address the space-time video super-resolution, which aims at generating a high-resolution (HR) slow-motion video from a low-resolution (LR) and low frame rate (LF…

cs.CV2021★ 5 cited

Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis

Xiaoyu Xiang, Ding Liu, Xiao Yang +3

In this paper, we explore open-domain sketch-to-photo translation, which aims to synthesize a realistic photo from a freehand sketch with its class label, even if the sketches of t…