DeepDiff: Deep Difference and search of any Python object/data. DeepHash: Hash of any object based on its contents. Delta: Use deltas to reconstruct objects by adding deltas together.

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

Research into how agentic AI coding assistants work — reconstructed prompt patterns, agent coordination, and security classification

flat assembler 1 - reconstructed source history

4DHumans: Reconstructing and Tracking Humans with Transformers

Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]

Imports Reconstructor

Python module for viewing Portable Executable (PE) files in a tree-view using pefile and PyQt5. Can also be used with IDA Pro and Rekall to dump in-memory PE files and reconstruct imports.

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]

Takagi and Nishimoto, CVPR 2023

Interactive Delphi Reconstructor

List of projects for 3d reconstruction

An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.

No description available

HaMeR: Reconstructing Hands in 3D with Transformers

A collection of 3D reconstruction papers in the deep learning era.

pdbex is a utility for reconstructing structures and unions from the PDB into compilable C headers

Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"

Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

CVPR 2023: PAniC-3D Stylized Single-view 3D Reconstruction from Portraits of Anime Characters

[TIP 2026] ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

3D reconstruction system to creating detailed scene geometry from range video.

Official implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"

PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB image

[CVPR25 Oral (Top 3.3%)] Official code for paper "Reconstructing Humans with a Biomechanically Accurate Skeleton".

SLStudio -- Real Time Structured Light. A comprehensive software suite for capturing and reconstructing 3D scenes with a camera-projector pair.

A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.