Implicit neural rendering, especially Neural Radiance Field (NeRF), has shown great
potential in novel view synthesis of a scene. However, current NeRF-based methods cannot …

The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D
human pose and shape. While popular, we show that SMPL has several limitations and …

While implicit representations have achieved high-fidelity results in 3D rendering, it remains
challenging to deforming and animating the implicit field. Existing works typically leverage …

Unsupervised generation of clothed virtual humans with various appearance and
animatable poses is important for creating 3D human avatars and other AR/VR applications …

This paper proposes NeuralEditor that enables neural radiance fields (NeRFs) natively
editable for general shape editing tasks. Despite their impressive results on novel-view …

We present a scalable approach for the optimization of flip-preventing energies in the
general context of simplicial mappings and specifically for mesh parameterization. Our …

We present a new method for generating realistic and view-consistent images with fine
geometry from 2D image collections. Our method proposes a hybrid explicit-implicit …

Direction fields and vector fields play an increasingly important role in computer graphics
and geometry processing. The synthesis of directional fields on surfaces, or other spatial …

Imbalance suggests a feeling of dynamism and movement in static objects. It is therefore not
surprising that many 3D models stand in impossibly balanced configurations. As long as the …

Spinning tops and yo-yos have long fascinated cultures around the world with their
unexpected, graceful motions that seemingly elude gravity. We present an algorithm to …