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researcher

Haowei Chen

14 papers hereh-index 7229 citations18 works total

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

author position
  • first author4
  • middle author10

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

fields
  • cs.CV12
  • cs.LG1
  • eess.IV1
same name
  • Haowei Chen — 4 papers, h 14
  • Haowei Chen — 4 papers, h 1
  • Haowei Chen — 2 papers, h 5
  • Haowei Chen — 1 paper, h 1
  • Haowei Chen — 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
20222026
most citedCascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution

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

HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior

Li-Yuan Tsao, Hao-Wei Chen, Hao-Wei Chung +4

Text-to-image diffusion models have emerged as powerful priors for real-world image super-resolution (Real-ISR). However, existing methods may produce unintended results due to noi…

cs.CV2024

All-In-One Medical Image Restoration via Task-Adaptive Routing

Zhiwen Yang, Haowei Chen, Ziniu Qian +5

Although single-task medical image restoration (MedIR) has witnessed remarkable success, the limited generalizability of these methods poses a substantial obstacle to wider applica…

cs.CV2024

AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters

Hao-Wei Chen, Yu-Syuan Xu, Kelvin C. K. Chan +3

Existing image restoration approaches typically employ extensive networks specifically trained for designated degradations. Despite being effective, such methods inevitably entail…

cs.CV2024

Boosting Flow-based Generative Super-Resolution Models via Learned Prior

Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang +4

Flow-based super-resolution (SR) models have demonstrated astonishing capabilities in generating high-quality images. However, these methods encounter several challenges during ima…

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