SOTAVerified

3D Shape Representation

Image: MeshNet

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–92 of 92 papers

TitleStatusHype
Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose AnnotationsCode2
Deep Implicit Templates for 3D Shape RepresentationCode1
DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces—0
Learning Occupancy Function from Point Clouds for Surface Reconstruction—0
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization—0
On the Effectiveness of Weight-Encoded Neural Implicit 3D ShapesCode1
Novel View Synthesis from Single Images via Point Cloud Transformation—0
Learning Attentive and Hierarchical Representations for 3D Shape Recognition—0
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications—0
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
Discrete Point Flow Networks for Efficient Point Cloud GenerationCode1
Local Implicit Grid Representations for 3D Scenes—0
Learning Local Neighboring Structure for Robust 3D Shape RepresentationCode1
Multiview Neural Surface Reconstruction by Disentangling Geometry and AppearanceCode1
Curriculum DeepSDFCode1
Local Implicit Grid Representations for 3D ScenesCode0
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation—0
Local Deep Implicit Functions for 3D ShapeCode0
BSP-Net: Generating Compact Meshes via Binary Space PartitioningCode1
Fully Convolutional Geometric FeaturesCode1
Geometric Disentanglement for Generative Latent Shape Models—0
Learning Embedding of 3D models with Quadric LossCode0
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks—0
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing—0
Grounding Language Attributes to Objects using Bayesian Eigenobjects—0
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and GenerationCode0
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation—0
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders—0
Deep Level Sets: Implicit Surface Representations for 3D Shape Inference—0
DeepSDF: Learning Continuous Signed Distance Functions for Shape RepresentationCode1
3D Point Capsule NetworksCode0
Occupancy Networks: Learning 3D Reconstruction in Function SpaceCode1
Learning Implicit Fields for Generative Shape ModelingCode0
MeshNet: Mesh Neural Network for 3D Shape RepresentationCode0
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences—0
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape RecognitionCode0
Learning Discriminative 3D Shape Representations by View Discerning NetworksCode0
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition—0
A generalized parametric 3D shape representation for articulated pose estimation—0
Directionally Convolutional Networks for 3D Shape Segmentation—0
3D ShapeNets: A Deep Representation for Volumetric ShapesCode1
Towards the Evolution of Vertical-Axis Wind Turbines using SupershapesCode0
Show:102550
← PrevPage 2 of 2Next →

No leaderboard results yet.