Showing 21-40 of 43 projects
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain.
A PyTorch library for working with neural fields like NeRFs, NGLOD, instant-ngp, and VQAD.
PixelNeRF is a Python library for training and using NeRF models for neural volumetric rendering.
A general NeRF acceleration toolbox in PyTorch for efficient neural rendering and computer vision.
A Python script that automatically updates daily Computer Vision papers from the ArXiv using GitHub Actions.
Mip-Splatting is a novel 3D Gaussian splatting algorithm for alias-free novel view synthesis.
A state-of-the-art Python implementation of the unbounded / large-scale NeRF view synthesis technique.
Instant-NGP in PyTorch+CUDA with PyTorch Lightning for high-quality, high-speed 3D reconstruction and novel view synthesis.
An awesome PyTorch library for building NeRF (Neural Radiance Fields) models.
NeRF-SLAM: Real-time dense monocular SLAM with neural radiance fields and probabilistic volumetric fusion.
This repository contains a PyTorch implementation of GIRAFFE, a generative model for representing 3D scenes as compositional neural feature fields.
Efficient Region-Aware Neural Radiance Fields for high-fidelity talking portrait synthesis
This repository appears to be documentation for a 3D rendering library called NeRF and related technologies.
A high-performance 3D Gaussian Splatting rasterizer for rendering AI-generated graphics.
A point-based neural radiance field for 3D reconstruction and rendering from multi-view images.
A novel method for zero-shot text-driven generation and animation of 3D avatars using CLIP and NeRF.
A Python benchmark suite for evaluating text-to-3D generation models and techniques.
A state-of-the-art 3D reconstruction tool using diffusion models for high-quality 3D reconstructions.
One-shot Realistic 3D Talking Portrait Synthesis using AI and Python
A Python library for fast reconstruction of neural radiance fields from direct voxel grid optimization.
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