This work considers gradient-based mesh optimization, where we iterative...
Reconstruction and intrinsic decomposition of scenes from captured image...
As several industries are moving towards modeling massive 3D virtual wor...
We present an efficient method for joint optimization of topology, mater...
We introduce DMTet, a deep 3D conditional generative model that can
synt...
Inferring detailed 3D geometry of the scene is crucial for robotics
appl...
The SAE AutoDrive Challenge is a three-year collegiate competition to de...