activity
20182023
most citedDeep Retinex Decomposition for Low-Light Enhancement

236 citations · 275 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 17 cited

Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation

Yiyang Ma, Huan Yang, Wenjing Wang +2

Language-guided image generation has achieved great success nowadays by using diffusion models. However, texts can be less detailed to describe highly-specific subjects such as a p…

cs.CV2022★ 2 cited

SMars: Semi-Supervised Learning for Mars Semantic Segmentation

Jiahang Zhang, Lilang Lin, Zejia Fan +2

Deep learning has become a powerful tool for Mars exploration. Mars terrain semantic segmentation is an important Martian vision task, which is the base of rover autonomous plannin…

cs.CV2021★ 5 cited

HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

Wenjing Wang, Wenhan Yang, Jiaying Liu

Face detection in low light scenarios is challenging but vital to many practical applications, e.g., surveillance video, autonomous driving at night. Most existing face detectors h…

cs.CV2020★ 9 cited

From Design Draft to Real Attire: Unaligned Fashion Image Translation

Yu Han, Shuai Yang, Wenjing Wang +1

Fashion manipulation has attracted growing interest due to its great application value, which inspires many researches towards fashion images. However, little attention has been pa…

cs.CV2019

TE141K: Artistic Text Benchmark for Text Effect Transfer

Shuai Yang, Wenjing Wang, Jiaying Liu

Text effects are combinations of visual elements such as outlines, colors and textures of text, which can dramatically improve its artistry. Although text effects are extensively u…

cs.CV2018★ 236 cited

Deep Retinex Decomposition for Low-Light Enhancement

Chen Wei, Wenjing Wang, Wenhan Yang +1

Retinex model is an effective tool for low-light image enhancement. It assumes that observed images can be decomposed into the reflectance and illumination. Most existing Retinex-b…