We present a novel audio-driven facial animation approach that can gener...
We propose, Monte Carlo Nonlocal physics-informed neural networks
(MC-No...
Point clouds are characterized by irregularity and unstructuredness, whi...
As two fundamental representation modalities of 3D objects, 2D multi-vie...
Reconstructing 3D geometry from unoriented point clouds can benefit
many...
We propose WarpingGAN, an effective and efficient 3D point cloud generat...
This paper investigates the problem of temporally interpolating dynamic ...
This paper addresses the problem of computing dense correspondence betwe...
Although convolutional neural networks have achieved remarkable success ...
This paper addresses the problem of generating dense point clouds from g...
Downsampling is a commonly-used technique in 3D point cloudprocessing fo...
This paper addresses the problem of generating uniform dense point cloud...
Arising from the various object types and scales, diverse imaging
orient...