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20202026
most citedUnified Dynamic Convolutional Network for Super-Resolution with Variational Degradations

3 citations · 8 across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

Fidelity- and Perception-Aware Local Implicit Attention for Arbitrary-Scale Image Super-Resolution

Yu-Syuan Xu, Hao-Lun Sun, Hao-Wei Chen +2

Arbitrary-scale image super-resolution (ASISR) aims to reconstruct high-resolution images from low-resolution inputs over a continuous range of upscaling factors. While traditional…

cs.CV2025

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration

Yu-Cheng Lin, Yu-Syuan Xu, Hao-Wei Chen +2

Image restoration is a key task in low-level computer vision that aims to reconstruct high-quality images from degraded inputs. The emergence of Vision Mamba, which draws inspirati…

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.CV2023★ 2 cited

Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution

Hao-Wei Chen, Yu-Syuan Xu, Min-Fong Hong +3

Implicit neural representation has recently shown a promising ability in representing images with arbitrary resolutions. In this paper, we present a Local Implicit Transformer (LIT…

cs.CV2022

MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning

Andrey Ignatov, Anastasia Sycheva, Radu Timofte +8

While neural networks-based photo processing solutions can provide a better image quality compared to the traditional ISP systems, their application to mobile devices is still very…

cs.CV2022

PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks

Andrey Ignatov, Grigory Malivenko, Radu Timofte +8

The increased importance of mobile photography created a need for fast and performant RAW image processing pipelines capable of producing good visual results in spite of the mobile…

cs.CV2021★ 3 cited

Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction

Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai +5

Despite the recent developments in 3D Face Reconstruction from occluded and noisy face images, the performance is still unsatisfactory. Moreover, most existing methods rely on addi…

cs.CV2021

Network Space Search for Pareto-Efficient Spaces

Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen +5

Network spaces have been known as a critical factor in both handcrafted network designs or defining search spaces for Neural Architecture Search (NAS). However, an effective space…

cs.CV2020

Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency

Cheng-Ming Chiang, Yu Tseng, Yu-Syuan Xu +13

Recently, image enhancement and restoration have become important applications on mobile devices, such as super-resolution and image deblurring. However, most state-of-the-art netw…