The emerging capability to 3D print a diverse palette of functional inks will enable the mass
democratization of patient-specific wearable devices and smart biomedical implants for …

The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …

We present a new approach termed GPS-Gaussian for synthesizing novel views of a
character in a real-time manner. The proposed method enables 2K-resolution rendering …

Abstract We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and
novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes …

It is extremely challenging to create an animatable clothed human avatar from RGB videos,
especially for loose clothes due to the difficulties in motion modeling. To address this …

Human volumetric capture is a long-standing topic in computer vision and computer
graphics. Although high-quality results can be achieved using sophisticated off-line systems …

Animating virtual avatars with free-view control is crucial for various applications like virtual
reality and digital entertainment. Previous studies have attempted to utilize the …

Recent neural human representations can produce high-quality multi-view rendering but
require using dense multi-view inputs and costly training. They are hence largely limited to …

We present SP-GAN, a new unsupervised sphere-guided generative model for direct
synthesis of 3D shapes in the form of point clouds. Compared with existing models, SP-GAN …

Abstract We propose Neural-DynamicReconstruction (NDR), a template-free method to
recover high-fidelity geometry and motions of a dynamic scene from a monocular RGB-D …