3D Shape Reconstruction
59 papers with code • 2 benchmarks • 8 datasets
Pix3D
Hypersim
ApolloCar3D
4DFAB
HUMAN4D
FewSOL
Foot3D
3D-POP
Latest papers
OReX: Object Reconstruction from Planar Cross-sections Using Neural Fields
A modest neural network is trained on the input planes to return an inside/outside estimate for a given 3D coordinate, yielding a powerful prior that induces smoothness and self-similarities.
Fine-Grained VR Sketching: Dataset and Insights
Rowl1ng/Fine-Grained_VR_Sketching
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We then, for the first time, study the scenario of fine-grained 3D VR sketch to 3D shape retrieval, as a novel VR sketching application and a proving ground to drive out generic insights to inform future research.
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
A novel disentangled shape and appearance database of priors is first learned to embed objects in their respective shape and appearance space.
Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations
Our method encodes the volumetric field of a 3D shape with an adaptive feature volume organized by an octree and applies a compact multilayer perceptron network for mapping the features to the field value at each 3D position.
GIFS: Neural Implicit Function for General Shape Representation
jianglongye/gifs
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CVPR 2022
This limitation leads to tedious data processing (converting non-watertight raw data to watertight) as well as the incapability of representing general object shapes in the real world.
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
junshengzhou/3dattriflow
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CVPR 2022
Reconstructing 3D shape from a single 2D image is a challenging task, which needs to estimate the detailed 3D structures based on the semantic attributes from 2D image.
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation
This paper studies the complex task of simultaneous multi-object 3D reconstruction, 6D pose and size estimation from a single-view RGB-D observation.
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments
maria-korosteleva/Garment-Pattern-Estimation
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The fields of SocialVR, performance capture, and virtual try-on are often faced with a need to faithfully reproduce real garments in the virtual world.
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Neural graphics primitives, parameterized by fully connected neural networks, can be costly to train and evaluate.
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild
jianglongye/implicit-tracking
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Tracking and reconstructing 3D objects from cluttered scenes are the key components for computer vision, robotics and autonomous driving systems.
