3D Object Reconstruction From A Single Image
11 papers with code • 2 benchmarks • 2 datasets
Image: Fan et al
Benchmarks
These leaderboards are used to track progress in 3D Object Reconstruction From A Single Image
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BUFF
3D-POP
Most implemented papers
Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
Summary: BWA-MEM is a new alignment algorithm for aligning sequence reads or long query sequences against a large reference genome such as human.
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
fanhqme/PointSetGeneration
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CVPR 2017
Our final solution is a conditional shape sampler, capable of predicting multiple plausible 3D point clouds from an input image.
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
facebookresearch/pifuhd
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CVPR 2020
Although current approaches have demonstrated the potential in real world settings, they still fail to produce reconstructions with the level of detail often present in the input images.
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
shunsukesaito/PIFu
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ICCV 2019
We introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object.
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
dineshreddy91/Occlusion_Net
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CVPR 2019
Central to this work is a trifocal tensor loss that provides indirect self-supervision for occluded keypoint locations that are visible in other views of the object.
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics
We present a convolutional neural network for joint 3D shape prediction and viewpoint estimation from a single input image.
ARCH: Animatable Reconstruction of Clothed Humans
kuangzijian/drifu-for-animals
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CVPR 2020
In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image.
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks
val-iisc/ssl_3d_recon
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CVPR 2020
We learn both 3D point cloud reconstruction and pose estimation networks in a self-supervised manner, making use of differentiable point cloud renderer to train with 2D supervision.
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
chenhsuanlin/signed-distance-SRN
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NeurIPS 2020
Dense 3D object reconstruction from a single image has recently witnessed remarkable advances, but supervising neural networks with ground-truth 3D shapes is impractical due to the laborious process of creating paired image-shape datasets.
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
monniert/unicorn
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Approaches for single-view reconstruction typically rely on viewpoint annotations, silhouettes, the absence of background, multiple views of the same instance, a template shape, or symmetry.
