Neural Radiance Fields (NeRFs) have achieved great success in the past f...
Synthesizing high-fidelity head avatars is a central problem for compute...
Animating virtual avatars with free-view control is crucial for various
...
We propose a robust method for learning neural implicit functions that c...
Unconditional human image generation is an important task in vision and
...
This work targets at using a general deep learning framework to synthesi...
In this work, we tackle the problem of real-world fluid animation from a...
Unsupervised point cloud completion aims at estimating the corresponding...
6-DoF object pose estimation from a monocular image is challenging, and ...
Semantic Scene Completion aims at reconstructing a complete 3D scene wit...
Recent learning-based LiDAR odometry methods have demonstrated their
com...
Depth information has proven to be a useful cue in the semantic segmenta...
The goal of the Semantic Scene Completion (SSC) task is to simultaneousl...
Recent studies have shown remarkable success in face manipulation task w...
Recent studies have shown remarkable advances in 3D human pose estimatio...
No-reference image quality assessment (NR-IQA) is a fundamental yet
chal...