Pinned Repositories
SuGaR
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
gs-relight
Official Code Release for SIGGRAPH Asia 2024 Paper: GS^3: Efficient Relighting with Triple Gaussian Splatting
ucasthesis
LaTeX Thesis Template for the University of Chinese Academy of Sciences
NRHints
Official Code Release for [SIGGRAPH 2023] Relighting Neural Radiance Fields with Shadow and Highlight Hints
SpS-NeRF
SparseSat-NeRF: Dense Depth Supervised Neural Radiance Fields for Sparse Satellite Images
gsplat
CUDA accelerated rasterization of gaussian splatting
Relightable3DGaussian
[ECCV2024] Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
RaySAR
RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables one to localize the 3D positions and surface intersection points related to reflected radar signals. In particular, RaySAR helps to understand the nature of signal multiple reflections at man-made objects (e.g. building structures) or artificial shapes. Scene models with different levels of detail can be processed - from digital surface models (DSMs) to high-end 3D structures - which can be defined in relative or absolute world coordinates. RaySAR can be run on Windows / Linux and is based on an adapted version of the open-source ray tracer POV-Ray.
HarryPeverell's Repositories
HarryPeverell/ucasthesis
LaTeX Thesis Template for the University of Chinese Academy of Sciences