Code for SIGGRAPH Asia 2024 Paper “Differentiable Photon Mapping using Generalized Path Gradients”

UV-free Texture Diffusion (UV3-TeD) is a denoising diffusion probabilistic model constrained to operate on the surface of 3D objects and capable of generating textures as coloured point-clouds.

A short implementation of blue noise sampling for triangle meshes

Official Implementation of Rethinking Score Distillation as a Bridge Between Image Distributions

Generates high-quality, optimally smooth tangent direction fields on triangle meshes.

High-resolution models for human tasks.

This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models".

Code Release for Patch-DM (ICLR 2024)

NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction

[SIGGRAPH 2024] Diffusion Texture Painting

NeRF as a Non-Distant Environment Emitter in Physics-based Inverse Rendering (SIGGRAPH 2024)

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

This is the official code release of our paper "Path-Space Differentiable Rendering of Implicit Surfaces"

[SIGGRAPH2024] DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Models

[BMVC 2023] 3D Structure-guided Network for Tooth Alignment in 2D Photograph

An example use of the openmaterial dataset

Differentiable Rasteriser implemented in JAX. Reference: https://github.com/erwincoumans/tinyrenderer, https://github.com/ssloy/tinyrenderer/wiki; PR: https://github.com/google/brax/pull/367

NDE: Neural Directional Encoding

From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

Pre-processing routines for Field Latent VAEs and Field Latent Diffusion Models -- CVPR 2024

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features

Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]