3D Shape Representation

37 papers with code • 0 benchmarks • 4 datasets

Image: MeshNet

Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds

lity20/dccdif CVPR 2022

However, the local codes are constrained at discrete and regular positions like grid points, which makes the code positions difficult to be optimized and limits their representation ability.

53
26 Mar 2022

PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation

myavartanoo/PolyNet_PyTorch 15 Oct 2021

3D shape representation and its processing have substantial effects on 3D shape recognition.

17
15 Oct 2021

3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces

myavartanoo/3DIAS_PyTorch ICCV 2021

Our experiments demonstrate the superiorities of our method in terms of representation power compared to the state-of-the-art methods in single RGB image 3D shape reconstruction.

22
19 Aug 2021

Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views

weixmath/cvr ICCV 2021

In this way, each 3D shape with arbitrary views is represented by a fixed number of canonical view features, which are further aggregated to generate a rich and robust 3D shape representation for shape recognition.

15
16 Aug 2021

ACORN: Adaptive Coordinate Networks for Neural Scene Representation

computational-imaging/ACORN 6 May 2021

Here, we introduce a new hybrid implicit-explicit network architecture and training strategy that adaptively allocates resources during training and inference based on the local complexity of a signal of interest.

287
06 May 2021

Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations

google-research-datasets/Objectron CVPR 2021

3D object detection has recently become popular due to many applications in robotics, augmented reality, autonomy, and image retrieval.

2,202
18 Dec 2020

Deep Implicit Templates for 3D Shape Representation

ZhengZerong/DeepImplicitTemplates CVPR 2021

Deep implicit functions (DIFs), as a kind of 3D shape representation, are becoming more and more popular in the 3D vision community due to their compactness and strong representation power.

157
30 Nov 2020

On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes

u2ni/ICLR2021 17 Sep 2020

Many prior works have focused on _latent-encoded_ neural implicits, where a latent vector encoding of a specific shape is also fed as input.

33
17 Sep 2020

Novel View Synthesis from Single Images via Point Cloud Transformation

lhoangan/pc4novis 17 Sep 2020

In this paper the argument is made that for true novel view synthesis of objects, where the object can be synthesized from any viewpoint, an explicit 3D shape representation isdesired.

7
17 Sep 2020

GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision

lkeab/gsnet ECCV 2020

GSNet utilizes a unique four-way feature extraction and fusion scheme and directly regresses 6DoF poses and shapes in a single forward pass.

130
26 Jul 2020