activity
20162025
most citedGated Fusion Network for Joint Image Deblurring and Super-Resolution

62 citations · 334 across the 27 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 42 cited

Portrait Neural Radiance Fields from a Single Image

Chen Gao, Yichang Shih, Wei-Sheng Lai +2

We present a method for estimating Neural Radiance Fields (NeRF) from a single headshot portrait. While NeRF has demonstrated high-quality view synthesis, it requires multiple imag…

cs.CV2020★ 2 cited

Real-time Localized Photorealistic Video Style Transfer

Xide Xia, Tianfan Xue, Wei-sheng Lai +4

We present a novel algorithm for transferring artistic styles of semantically meaningful local regions of an image onto local regions of a target video while preserving its photore…

cs.CV2020★ 3 cited

Learning to See Through Obstructions with Layered Decomposition

Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang +2

We present a learning-based approach for removing unwanted obstructions, such as window reflections, fence occlusions, or adherent raindrops, from a short sequence of images captur…

cs.CV2020★ 2 cited

Learning to See Through Obstructions

Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang +2

We present a learning-based approach for removing unwanted obstructions, such as window reflections, fence occlusions or raindrops, from a short sequence of images captured by a mo…

eess.IV2020★ 15 cited

Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen +4

Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR) input image is challenging due to missing details in under-/over-exposed regions caused by quantiz…

cs.CV2020

Gated Fusion Network for Degraded Image Super Resolution

Xinyi Zhang, Hang Dong, Zhe Hu +3

Single image super resolution aims to enhance image quality with respect to spatial content, which is a fundamental task in computer vision. In this work, we address the task of si…

cs.CV2020

Exploiting Semantics for Face Image Deblurring

Ziyi Shen, Wei-Sheng Lai, Tingfa Xu +2

In this paper, we propose an effective and efficient face deblurring algorithm by exploiting semantic cues via deep convolutional neural networks. As the human faces are highly str…