There has been significant work on learning realistic, articulated, 3D models of the human
body. In contrast, there are few such models of animals, despite many applications. The …

We present a learning framework that learns to recover the 3D shape, pose and texture from
a single image, trained on an image collection without any ground truth 3D shape, multi …

The core idea in an XR (VR/MR/AR) application is to digitally stimulate one or more sensory
systems (eg visual, auditory, olfactory) of the human user in an interactive way to achieve an …

Animal pose estimation is an important field that has received increasing attention in the
recent years. The main challenge for this task is the lack of labeled data. Existing works …

Recent work has made significant progress on using implicit functions, as a continuous
representation for 3D rigid object shape reconstruction. However, much less effort has been …

We present the first method to perform automatic 3D pose, shape and texture capture of
animals from images acquired in-the-wild. In particular, we focus on the problem of capturing …

Applications in virtual and augmented reality create a demand for rapid creation and easy
access to large sets of 3D models. An effective way to address this demand is to edit or …

We tackle the tasks of: 1) predicting a Canonical Surface Map** (CSM) that indicates the
map** from 2D pixels to corresponding points on a canonical template shape, and 2) …

Animals are widespread in nature and the analysis of their shape and motion is important in
many fields and industries. Modeling 3D animal shape, however, is difficult because the 3D …