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Xin Di

14 papers hereh-index 11374 citations16 works total

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

author position
  • first author1
  • middle author11

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • eess.IV2
  • cs.AI1
same name
  • Xin Di — 1 paper, h 1

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
20242026
most citedReal-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey

2 citations · 3 across the 12 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

4 papers · 2 filters

cs.CV2024

S3Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

Peizhe Xia, Long Peng, Xin Di +4

Arbitrary scale super-resolution (ASSR) aims to super-resolve low-resolution images to high-resolution images at any scale using a single model, addressing the limitations of tradi…

cs.CV2024

QMambaBSR: Burst Image Super-Resolution with Query State Space Model

Xin Di, Long Peng, Peizhe Xia +5

Burst super-resolution aims to reconstruct high-resolution images with higher quality and richer details by fusing the sub-pixel information from multiple burst low-resolution fram…

cs.CV2024★ 2 cited

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey

Marcos V. Conde, Zhijun Lei, Wen Li +72

This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolutio…

cs.CV2024★ 1 cited

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren, Yawei Li, Nancy Mehta +129

This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…

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