Open-source alternatives to S9xie Hed

The 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotations. It covers over 6,000 m2 collected in 6 large-scale indoor areas that originate from 3 different buildings. It contains over 70,000 RGB…

Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image

Official implementation for Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation (CVPR'22 Best Paper Finalist 🎉) If you ❤️ or simply use this project, don't forget to give the repository a ⭐, it means a lot to us !

Habitat-Lab

Habitat-sim is a high-performance 3D simulation platform designed for training and benchmarking embodied AI agents within photorealistic indoor and outdoor environments. It serves as a simulator for AI and robotics, providing a system for generating synthetic data and simulating physical interactions. The project is distinguished by a native C++ core that enables high-throughput simulation and a rendering pipeline using physically based rendering and baked global illumination. It features a navigation system based on pre-computed navigation meshes to ensure collision-free traversal and a rigi

Properties of dilated convolution are discussed in our ICLR 2016 conference paper. This repository contains the network definitions and the trained models. You can use this code together with vanilla Caffe to segment images using the pre-trained models. If you want to train the models yourself,…

This project is a generative adversarial network implementation and research framework. It provides the tools and hyperparameters necessary to train and evaluate generative models across various datasets, specifically designed to reproduce results from academic research. The framework includes a Parzen density likelihood estimator to calculate model log likelihood. This allows for the quantitative evaluation of generative distributions and the measurement of overall model performance. The codebase covers machine learning research capabilities, focusing on the training of adversarial networks

Source code release of the paper: Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation.

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

This repository contains pre-trained models and evaluation code for the project 'Single Image 3D Interpreter Network' (ECCV 2016).

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Caffe

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

Index repo for Kimera code

This project is a command-line tool designed for image super-resolution and noise reduction, with a primary focus on anime-style illustrations. It utilizes convolutional neural network inference to reconstruct missing pixel data and remove digital artifacts, allowing users to upscale images and reduce noise either independently or in a single simultaneous processing pass. Beyond its core image restoration capabilities, the software provides a comprehensive suite for machine learning model training. Users can prepare custom datasets and optimize neural networks for specific restoration tasks,

Paper Accepted to CVPR 2022.

Paper

Paper

Free-form Description-guided 3D Visual Graph Networks for Object Grounding in Point Cloud

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

This is the official repository of the Semantic Query Network (SQN). For technical details, please refer to:

R-CNN: Regions with Convolutional Neural Network Features

This is the implementation of our CVPRW'21 paper " OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas " accepted at the 2nd workshop on Omnidirectional Computer Vision.

The testing code for deep contour detector

This repo contains training and testing code for our paper on semantic scene completion, a task for producing a complete 3D voxel representation of volumetric occupancy and semantic labels for a scene from a single-view depth map observation. More information about the project can be found in…

PyTorch implementation of our CVPR 2019 paper:

The official implementation of PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Miloš Hašan, Kalyan Sunkavalli, Manmohan Chandraker IEEE / CVF Computer Vision and Pattern Recognition Conference…