Public code for running Stochastic Gradient Descent on GPs.

A beautiful, simple, clean, and responsive Jekyll theme for academics

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces

[Sigasia 2024] Manifold Sampling for Differentiable Uncertainty in Radiance Fields

Code for the paper "From microfacets to participating media: A unified theory of light transport with stochastic geometry"

Repository containing common 3D test models in original format with original source if known and obj mesh

Proof-of-concept surface reconstruction experiments to explore the design space for volumetric opaque solids.

Code release for "3D reconstruction with fast dipole sums"

[ICLR 2025]Source Code for the Paper "MIRReS: Inverse Rendering for Shape, Light, and Material Decomposition using Multi-Bounce Path Tracing and Reservoir Sampling"

[CVPR 2024] Official repo for paper NeLF-Pro: Neural Light Field Probes

Implementation of "Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision"

Zhejiang University Graduation Thesis LaTeX Template

[SIGGRAPH Asia 2023]FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion

neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.

Canonical Factors for Hybrid Neural Fields @ ICCV 2023

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

The official implementation of the paper Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields, the first interactive pixel-level NeRF editing tool.

[ICCV'23 Oral, Best Paper Finalist]Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields

DIVeR: Deterministic Integration for Volume Rendering

Real-time application of DIVeR

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

Code release for CVPR'23 paper - "Sphere-Guided Training of Neural Implicit Surfaces"

[CVPR'2023]: Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment

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

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"