Rendering photorealistic and dynamically moving human heads is crucial f...
A good motion retargeting cannot be reached without reasonable considera...
Fast generation of high-quality 3D digital humans is important to a vast...
People may perform diverse gestures affected by various mental and physi...
We present a novel audio-driven facial animation approach that can gener...
Semantic segmentation has recently achieved notable advances by exploiti...
We present a large-scale facial UV-texture dataset that contains over 50...
Multi-domain image-to-image (I2I) translations can transform a source im...
We present a neural network-based system for long-term, multi-action hum...
Line clouds, though under-investigated in the previous work, potentially...
It is very challenging to accurately reconstruct sophisticated human geo...
Reconstructing 3D geometry from unoriented point clouds can benefit
many...
The evaluation of 3D face reconstruction results typically relies on a r...
Recent segmentation methods, such as OCR and CPNet, utilizing "class lev...
We present PVSeRF, a learning framework that reconstructs neural radianc...
We present a method for reconstructing accurate and consistent 3D hands ...
Neural Radiance Fields (NeRF) has achieved unprecedented view synthesis
...
Recently, there has been an increasing interest in image editing methods...
Generating conversational gestures from speech audio is challenging due ...
Recent research has witnessed advances in facial image editing tasks
inc...
We present animatable neural radiance fields for detailed human avatar
c...
Image-to-Image (I2I) multi-domain translation models are usually evaluat...
Reconstructing a 3D hand from a single-view RGB image is challenging due...
We present a fully automatic system that can produce high-fidelity,
phot...
This paper proposes a novel pretext task to address the self-supervised ...
Recent research has witnessed the advances in facial image editing tasks...
Accurate 3D reconstruction of the hand and object shape from a hand-obje...
While deep neural networks have been shown to perform remarkably well in...
In this paper, we present an end-to-end learning framework for detailed ...
We address the problem of semi-supervised video object segmentation (VOS...
We address the problem of recovering the 3D geometry of a human face fro...
We address the problem of video representation learning without
human-an...
We address the problem of restoring a high-resolution face image from a
...
Combining cameras and inertial measurement units (IMUs) has been proven
...
The tracking-by-detection framework consists of two stages, i.e., drawin...
This paper addresses the problem of video object segmentation, where the...
We address the problem of transferring the style of a headshot photo to ...
Exemplar-based face sketch synthesis methods usually meet the challengin...
We propose a two-stage method for face hallucination. First, we generate...
A robust estimator, namely M-smoother, for piecewise-constant smoothing ...