This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization

Last update: Dec 14, 2022

Related tags

Deep Learning SphericalGaussianOptimization

Overview

Spherical Gaussian Optimization

This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization. This code has been used in the following paper to generate ground-truth spherical Gaussian parameters.

Li, Z., Shafiei, M., Ramamoorthi, R., Sunkavalli, K., & Chandraker, M. (2020). Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2475-2484).

Please cite the paper if you find the code to be useful in your own project. Please refer to the papers for more implementation details.

Instructions

To run the code, use the command python optimEnvSplit.py --cuda --dataRoot DATA, where DATA is the path to the synthetic dataset.

Some code of the implements of Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network

3D-GMPDCNN Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network PyTorch implementation of "Geological Modeling Usin

5 Nov 21, 2022

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

scikit-opt Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm,A

3.7k Jan 3, 2023

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

NLopt is a library for nonlinear local and global optimization, for functions with and without gradient information. It is designed as a simple, unifi

1.4k Dec 25, 2022

Racing line optimization algorithm in python that uses Particle Swarm Optimization.

Racing Line Optimization with PSO This repository contains a racing line optimization algorithm in python that uses Particle Swarm Optimization. Requi

6 Dec 14, 2022

Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".

Matern Gaussian Processes on Graphs This repo provides an extension for gpflow with Matérn kernels, inducing variables and trainable models implemente

41 Dec 17, 2022

This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".

Deep Conditional Gaussian Mixture Model for Constrained Clustering. This repository holds the code for the paper Deep Conditional Gaussian Mixture Mod

17 Oct 30, 2022

Code to reproduce the experiments from our NeurIPS 2021 paper " The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective"

Code To run: python runner.py new --save SAVE_NAME --data PATH_TO_DATA_DIR --dataset DATASET --model model_name [options] --n 1000 - train - t

5 Dec 12, 2022

This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)

GP-VAE This repository provides datasets and code for preprocessing, training and testing models for the paper: Diverse Text Generation via Variationa

18 Dec 29, 2022

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Differential Privacy (DP) Based Federated Learning (FL) Everything about DP-based FL you need is here. （所有你需要的DP-based FL的信息都在这里） Code Tip: the code o

83 Dec 24, 2022

Comments

About format of spatially-varying lighting!
Hi, @lzqsd

I'd like to ask about the format of spatially-varying lighting.

In this Figure (f), you show the spatially-varying lighting. However, I've never seen this representation such as a grid cell.

I have three questions.

Can this HDR render the lighting without converting a format in Blender?

How did you create this ground truth HDR?

Additionally, If you know references about this format, please let me introduce it.

Best regards,
opened by UdonDa 0
How to make the parameters visualized?

Hi, This code may generate the spherical guassian parameters. How to get the image of spherical guassian parameters? Just like you had presented the image results of 12 SG lobes.

opened by Mrwjm 1

Owner

GitHub

DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.

Differentiable Model Compression via Pseudo Quantization Noise DiffQ performs differentiable quantization using pseudo quantization noise. It can auto

145 Dec 30, 2022

This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization

Related tags

Overview

Spherical Gaussian Optimization

Instructions

You might also like...

Some code of the implements of Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

Racing line optimization algorithm in python that uses Particle Swarm Optimization.

Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".

This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".

Code to reproduce the experiments from our NeurIPS 2021 paper " The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective"

This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Comments

About format of spatially-varying lighting!

How to make the parameters visualized?

Owner

Per-Pixel Classification is Not All You Need for Semantic Segmentation

Code for PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing

A spherical CNN for weather forecasting

Spherical CNNs

Spherical Confidence Learning for Face Recognition, accepted to CVPR2021.

A Python implementation of global optimization with gaussian processes.

Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}

Minimisation of a negative log likelihood fit to extract the lifetime of the D^0 meson (MNLL2ELDM)

Fit Fast, Explain Fast

DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.