Abstract A Neural Radiance Field (NeRF) encodes the specific relation of 3D geometry and
appearance of a scene. We here ask the question whether we can transfer the appearance …

A method for the construction of bijective volumetric maps between 3D shapes is presented.
Arbitrary shapes of ball-topology are supported, overcoming restrictions of previous methods …

In this work we propose to combine the advantages of learning-based and combinatorial
formalisms for 3D shape matching. While learning-based methods lead to state-of-the-art …

We present an automated technique for computing a map between two genus‐zero shapes,
which matches semantically corresponding regions to one another. Lack of annotated data …

Offline facial retargeting, ie, transferring facial expressions from a source to a target
character, is a common production task that still regularly leads to considerable algorithmic …

In this paper, we propose SRIF, a novel S emantic shape R egistration framework based on
diffusion-based I mage morphing and F low estimation. More concretely, given a pair of …

The demand for immersive technology and realistic virtual environments has created a need
for automated solutions to generate characters with morphological variations. However …

Neural surfaces (eg, neural map encoding, deep implicits and neural radiance fields) have
recently gained popularity because of their generic structure (eg, multi-layer perceptron) and …

In this work we propose to combine the advantages of learning-based and combinatorial
formalisms for 3D shape matching. While learning-based shape matching solutions lead to …