This paper tackles the challenge of creating relightable and animatable
...
Recently, the editing of neural radiance fields (NeRFs) has gained
consi...
Despite the rapid advance of 3D-aware image synthesis, existing studies
...
In this work, we aim to reconstruct a time-varying 3D model, capable of
...
We present a novel method for recovering the absolute pose and shape of ...
A fully automated object reconstruction pipeline is crucial for digital
...
This paper introduces a novel representation of volumetric videos for
re...
Purely MLP-based neural radiance fields (NeRF-based methods) often suffe...
This paper addresses the challenge of quickly reconstructing free-viewpo...
We introduce a novel approach that takes a single semantic mask as input...
Generative AI tools hold promise to increase human productivity. This pa...
We propose a novel approach to self-supervised learning of point cloud
r...
Existing 3D-aware image synthesis approaches mainly focus on generating ...
Generative models, as an important family of statistical modeling, targe...
Most businesses impose a supervisory hierarchy on employees to facilitat...
This paper addresses the challenge of reconstructing 3D indoor scenes fr...
In this paper, we present a generalizable model-free 6-DoF object pose
e...
This paper aims to reconstruct an animatable human model from a video of...
Making generative models 3D-aware bridges the 2D image space and the 3D
...
This paper aims to reduce the rendering time of generalizable radiance
f...
We present a new neural representation, called Neural Ray (NeuRay), for ...
This paper addresses the challenge of reconstructing an animatable human...
This paper addresses the challenge of novel view synthesis for a human
p...
This paper proposes a doubly robust two-stage semiparametric
difference-...
This paper introduces a novel contour-based approach named deep snake fo...
In Regression Discontinuity (RD) design, self-selection leads to differe...
Finding local correspondences between images with different viewpoints
r...
This paper proposes a new method to identify leaders and followers in a
...
This paper addresses the challenge of 6DoF pose estimation from a single...
In this paper, we propose a robust method to estimate the average treatm...