3D Shape Reconstruction From A Single 2D Image

7 papers with code • 1 benchmarks • 1 datasets

Image: Liao et al


Most implemented papers

Multi-Garment Net: Learning to Dress 3D People from Images

bharat-b7/MultiGarmentNetwork ICCV 2019

We present Multi-Garment Network (MGN), a method to predict body shape and clothing, layered on top of the SMPL model from a few frames (1-8) of a video.

ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization

zubair-irshad/shapo 27 Jul 2022

A novel disentangled shape and appearance database of priors is first learned to embed objects in their respective shape and appearance space.

PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

shunsukesaito/PIFu 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.

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.

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

facebookresearch/phosa ECCV 2020

We present a method that infers spatial arrangements and shapes of humans and objects in a globally consistent 3D scene, all from a single image in-the-wild captured in an uncontrolled environment.

ROCA: Robust CAD Model Retrieval and Alignment from a Single Image

cangumeli/ROCA CVPR 2022

We present ROCA, a novel end-to-end approach that retrieves and aligns 3D CAD models from a shape database to a single input image.

Super-resolution 3D Human Shape from a Single Low-Resolution Image

marcopesavento/Super-resolution-3D-Human-Shape-from-a-Single-Low-Resolution-Image 23 Aug 2022

The approach overcomes limitations of existing approaches that reconstruct 3D human shape from a single image, which require high-resolution images together with auxiliary data such as surface normal or a parametric model to reconstruct high-detail shape.