This survey reviews the recent advances in linear variational mesh deformation techniques.
These methods were developed for editing detailed high-resolution meshes like those …

Novel view synthesis for dynamic scenes is still a challenging problem in computer vision
and graphics. Recently Gaussian splatting has emerged as a robust technique to represent …

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 …

Surfaces serve as a natural parametrization to 3D shapes. Learning surfaces using
convolutional neural networks (CNNs) is a challenging task. Current paradigms to tackle this …

We show that surface reconstruction from oriented points can be cast as a spatial Poisson
problem. This Poisson formulation considers all the points at once, without resorting to …

Modeling tasks, such as surface deformation and editing, can be analyzed by observing the
local behavior of the surface. We argue that defining a modeling operation by asking for …

Surface editing operations commonly require geometric details of the surface to be
preserved as much as possible. We argue that geometric detail is an intrinsic property of a …

Existing single view, 3D face reconstruction methods can produce beautifully detailed 3D
results, but typically only for near frontal, unobstructed viewpoints. We describe a system …

This article presents a novel approach for 3D mesh labeling by using deep Convolutional
Neural Networks (CNNs). Many previous methods on 3D mesh labeling achieve impressive …

We present an interactive system that lets a user move and deform a two-dimensional shape
without manually establishing a skeleton or freeform deformation (FFD) domain beforehand …