Search Results for author: Wan-Chun Ma

Found 4 papers, 1 papers with code

Using Augmented Face Images to Improve Facial Recognition Tasks

no code implementations13 May 2022 Shuo Cheng, Guoxian Song, Wan-Chun Ma, Chao Wang, Linjie Luo

We present a framework that uses GAN-augmented images to complement certain specific attributes, usually underrepresented, for machine learning model training.

BIG-bench Machine Learning

AgileGAN: stylizing portraits by inversion-consistent transfer learning

1 code implementation ACM Transactions on Graphics 2021 Guoxian Song, Linjie Luo, Jing Liu, Wan-Chun Ma, Chun-Pong Lai, Chuanxia Zheng, Tat-Jen Cham

While substantial progress has been made in automated stylization, generating high quality stylistic portraits is still a challenge, and even the recent popular Toonify suffers from several artifacts when used on real input images.

Attribute motion retargeting +1

Learning Illumination from Diverse Portraits

no code implementations5 Aug 2020 Chloe LeGendre, Wan-Chun Ma, Rohit Pandey, Sean Fanello, Christoph Rhemann, Jason Dourgarian, Jay Busch, Paul Debevec

We present a learning-based technique for estimating high dynamic range (HDR), omnidirectional illumination from a single low dynamic range (LDR) portrait image captured under arbitrary indoor or outdoor lighting conditions.

Lighting Estimation

DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality

no code implementations CVPR 2019 Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul Debevec

We present a learning-based method to infer plausible high dynamic range (HDR), omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a mobile phone camera with a limited field of view (FOV).

Mixed Reality

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