Neural fields in visual computing and beyond
Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …
computing problems using methods that employ coordinate‐based neural networks. These …
Neural descriptor fields: Se (3)-equivariant object representations for manipulation
We present Neural Descriptor Fields (NDFs), an object representation that encodes both
points and relative poses between an object and a target (such as a robot gripper or a rack …
points and relative poses between an object and a target (such as a robot gripper or a rack …
3d gaussian splatting as new era: A survey
3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …
Computer Graphics, offering explicit scene representation and novel view synthesis without …
Latent partition implicit with surface codes for 3d representation
Deep implicit functions have shown remarkable shape modeling ability in various 3D
computer vision tasks. One drawback is that it is hard for them to represent a 3D shape as …
computer vision tasks. One drawback is that it is hard for them to represent a 3D shape as …
Learnable skeleton-aware 3d point cloud sampling
Point cloud sampling is crucial for efficient large-scale point cloud analysis, where learning-
to-sample methods have recently received increasing attention from the community for …
to-sample methods have recently received increasing attention from the community for …
Constructive solid geometry on neural signed distance fields
Signed Distance Fields (SDFs) parameterized by neural networks have recently gained
popularity as a fundamental geometric representation. However, editing the shape encoded …
popularity as a fundamental geometric representation. However, editing the shape encoded …
Coverage axis: Inner point selection for 3d shape skeletonization
In this paper, we present a simple yet effective formulation called Coverage Axis for 3D
shape skeletonization. Inspired by the set cover problem, our key idea is to cover all the …
shape skeletonization. Inspired by the set cover problem, our key idea is to cover all the …
3d gaussian as a new vision era: A survey
3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …
Computer Graphics, offering explicit scene representation and novel view synthesis without …
[HTML][HTML] MARF: The medial atom ray field object representation
PB Sundt, T Theoharis - Computers & Graphics, 2023 - Elsevier
Abstract We propose Medial Atom Ray Fields (MARFs), a novel neural object representation
that enables accurate differentiable surface rendering with a single network evaluation per …
that enables accurate differentiable surface rendering with a single network evaluation per …
3d concept grounding on neural fields
In this paper, we address the challenging problem of 3D concept grounding (ie, segmenting
and learning visual concepts) by looking at RGBD images and reasoning about paired …
and learning visual concepts) by looking at RGBD images and reasoning about paired …