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Ying Tai

4 papers hereh-index 3288 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
same name
  • Ying Tai — 54 papers, h 44
  • Ying Tai — 19 papers, h 7
  • Ying Tai — 18 papers, h 7
  • Ying Tai — 10 papers, h 9
  • Ying Tai — 5 papers, h 3
  • Ying Tai — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedNTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

23 citations · 24 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations

Yanhao Ge, Shanyan Guan, Weihao Wang +2

Natural images are continuous, yet most generative models synthesize them on discrete grids, limiting resolution-flexible generation. Continuous neural fields enable resolution-fre…

cs.CV2023★ 1 cited

High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets

Yanbo Wang, Chuming Lin, Donghao Luo +3

The last decades are marked by massive and diverse image data, which shows increasingly high resolution and quality. However, some images we obtained may be corrupted, affecting th…

cs.CV2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

Yawei Li, Kai Zhang, Radu Timofte +108

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…

eess.IV2020★ 23 cited

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

Andreas Lugmayr, Martin Danelljan, Radu Timofte +43

This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.