2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Real-Time Radiance Fields for Single-Image Portrait View Synthesis
Alex Trevithick, Matthew Chan, Michael Stengel +7
We present a one-shot method to infer and render a photorealistic 3D representation from a single unposed image (e.g., face portrait) in real-time. Given a single RGB input, our im…
eess.IV2020★ 1 cited
UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement
Yangyang Qu, Kai Chen, Chao Liu +1
Low-light image enhancement, such as recovering color and texture details from low-light images, is a complex and vital task. For automated driving, low-light scenarios will have s…
eess.IV2020★ 2 cited
LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks
Yangyang Qu, Chao liu, Yongsheng Ou
Restoring images from low-light data is a challenging problem. Most existing deep-network based algorithms are designed to be trained with pairwise images. Due to the lack of real-…