3D technology is used in a wide range of fields, including film, video games, architecture, engineering, and product design. It allows designers to create digital models of objects that can be manipulated and rendered in three dimensions. 3D modeling software is used to create and manipulate 3D models, and 3D animation software is used to create movement and effects within those models. 3D technology has also been adopted for use in 3D printing, where physical objects can be created from digital models.
A collaboration friendly studio for NeRFs
A procedural Blender pipeline for photorealistic training image generation
A python module for scientific analysis of 3D data based on VTK and Numpy
Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.
pyntcloud is a Python library for working with 3D point clouds.
Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
Blender Integration for LuxCore
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
This is a implementation of the 3D FLAME model in PyTorch
[TPAMI 2023] SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections
A set of tools to visualize and interact with sequences of 3D data.
Photometric optimization code for creating the FLAME texture space and other applications
Data visualisation and ray tracing in Python based on OptiX 7.7 framework.
"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024)
Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
A Python framework for building Desktop applications.