4 citations · 5 across the 3 of their papers we have counts for
4 papers
OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis
Hongyi Xu, Guoxian Song, Zihang Jiang +6
We present OmniAvatar, a novel geometry-guided 3D head synthesis model trained from in-the-wild unstructured images that is capable of synthesizing diverse identity-preserved 3D he…
Using Augmented Face Images to Improve Facial Recognition Tasks
Shuo Cheng, Guoxian Song, Wan-Chun Ma +2
We present a framework that uses GAN-augmented images to complement certain specific attributes, usually underrepresented, for machine learning model training. This allows us to im…
Learning Illumination from Diverse Portraits
Chloe LeGendre, Wan-Chun Ma, Rohit Pandey +5
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 arbi…
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
Chloe LeGendre, Wan-Chun Ma, Graham Fyffe +4
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 pho…