5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 5 cited
RGB-D-Fusion: Image Conditioned Depth Diffusion of Humanoid Subjects
Sascha Kirch, Valeria Olyunina, Jan Ondřej +3
We present RGB-D-Fusion, a multi-modal conditional denoising diffusion probabilistic model to generate high resolution depth maps from low-resolution monocular RGB images of humano…
cs.CV2022
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
Sascha Kirch, Rafael Pagés, Sergio Arnaldo +1
We present VoloGAN, an adversarial domain adaptation network that translates synthetic RGB-D images of a high-quality 3D model of a person, into RGB-D images that could be generate…