Popular GitHub Repositories for Shape

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Awesome work on hand pose estimation/tracking

Deep learning in Rust, with shape checked tensors and neural networks

Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

A high-fidelity 3D face reconstruction library from monocular RGB image(s)

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

This is a tensorflow re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network.My blog:

Intrinsic3D - High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (ICCV 2017)

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ? support visual intelligence development!

Neural Factorization of Shape and Reflectance Under an Unknown Illumination

Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

A dataset for estimation of hand pose and shape from single color images.