Tobias Fischer

AnyDepth. AnyDepth: Depth Estimation Made Easy

UFM. UFM: A Unified Dense Image Correspondence Estimator for both Optical Flow & Wide Baseline Matching Tasks. Matches any pair of images. (NeurIPS 2025)

fm-boosting. [ECCV 2024, Oral] FMBoost: Boosting Latent Diffusion with Flow Matching

whisper.cpp. Port of OpenAI's Whisper model in C/C++

r3d3. Python

awesome-scene-representation. A curated list of awesome scene representation(NeRFs) papers, code, and resources.

pypose. A library for differentiable robotics on manifolds.

sdfstudio. A Unified Framework for Surface Reconstruction

arxiv-submission-sanitizer-flattener. Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.

Sphinx-Autosummary-Recursion. Demonstrating the new automatic package recursion facility in sphinx.ext.autosummary version 3.1

awesome-6d-object. Awesome work on object 6 DoF pose estimation

charticulator. Interactive Layout-Aware Construction of Bespoke Charts

DeepImplicitTemplates. Implementation of "Deep Implicit Templates for 3D Shape Representation"

Python. All Algorithms implemented in Python

awesome-mlss. 🤖 Machine Learning Summer School Guide

ddn. Deep Declarative Networks

Awesome-Video-Datasets. Video datasets

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

python-patterns. A collection of design patterns/idioms in Python

pytracking. Visual tracking library based on PyTorch.

Voxel-R-CNN. Python

mmdetection3d. OpenMMLab's next-generation platform for general 3D object detection.

graf. Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

Objectron. Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

torchsparse. [MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

TrackEval. HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).

Res2Net-PretrainedModels. (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

monodepth2. [ICCV 2019] Monocular depth estimation from a single image

inplace_abn. In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

AB3DMOT. (IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

OpenPCDet. OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

deepMOT. Official Implementation of How To Train Your Deep Multi-Object Tracker (CVPR2020)

occupancy_networks. This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

pytorch3d. PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

automl. Google Brain AutoML

packnet-sfm. TRI-ML Monocular Depth Estimation Repository

GNN3DMOT. Official PyTorch Implementation for "GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with 2D-3D Multi-Feature Learning", CVPR 2020

PTP. Official PyTorch Implementation for "Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling", In Submission

captum. Model interpretability and understanding for PyTorch

pytorch_geometric. Graph Neural Network Library for PyTorch

MinkowskiEngine. Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

kaolin. A PyTorch Library for Accelerating 3D Deep Learning Research

votenet. Deep Hough Voting for 3D Object Detection in Point Clouds

PyViz3D. PyViz3D is a web-based visualizer for 3D objects and point clouds.