3 papers
cs.CV2022
Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers
Robin Kips, Ruowei Jiang, Sileye Ba +4
Augmented reality applications have rapidly spread across online platforms, allowing consumers to virtually try-on a variety of products, such as makeup, hair dying, or shoes. Howe…
cs.GR2022
Hair Color Digitization through Imaging and Deep Inverse Graphics
Robin Kips, Panagiotis-Alexandros Bokaris, Matthieu Perrot +2
Hair appearance is a complex phenomenon due to hair geometry and how the light bounces on different hair fibers. For this reason, reproducing a specific hair color in a rendering e…
eess.IV2022
A deep residual learning implementation of Metamorphosis
Matthis Maillard, Anton François, Joan Glaunès +2
In medical imaging, most of the image registration methods implicitly assume a one-to-one correspondence between the source and target images (i.e., diffeomorphism). However, this…