The emerging Neural Radiance Field (NeRF) shows great potential in
repre...
Deep normal estimators have made great strides on synthetic benchmarks.
...
To generate high quality rendering images for real time applications, it...
When conducting autonomous scanning for the online reconstruction of unk...
In this paper, we propose HeadNeRF, a novel NeRF-based parametric head m...
Urban design is a highly visual discipline that requires visualization f...
In this paper, we propose StereoPIFu, which integrates the geometric
con...
3D shape editing is widely used in a range of applications such as movie...
Total Generalized Variation (TGV) has recently been proven certainly
suc...
Generative flows models enjoy the properties of tractable exact likeliho...
In this paper, we consider the problem to automatically reconstruct garm...
We introduce FPConv, a novel surface-style convolution operator designed...
Reflectional symmetry is ubiquitous in nature. While extrinsic reflectio...
Low isometric distortion is often required for mesh parameterizations. A...
We present a deep reinforcement learning method of progressive view
inpa...
To carry out autonomous 3D scanning and online reconstruction of unknown...
Many computer graphics problems require computing geometric shapes subje...
The joint bilateral filter, which enables feature-preserving signal smoo...
Recent work has demonstrated that the interior material layout of a 3D m...
In this paper, we propose a novel face feature extraction method based o...
Color transfer between images uses the statistics information of image
e...
We present a novel approach of color transfer between images by explorin...
While the problem of image aesthetics has been well explored, the study ...