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Max-Planck Institute for Informatics, Kumo.ai
Stars
Repository of the paper "AnyUp: Universal Feature Upsampling".
[CODEML @ ICML2025] Official implementation of the 🌀Spatial Reasoners python package
[ICML 2025] Implementation of Spatial Reasoning with Denoising Models
An open source Multi-View Latent Diffusion Model
MEt3R: Measuring Multi-View Consistency in Generated Images
Spurfies: Sparse Surface Reconstruction using Local Geometry Priors
[ICLR2025 Spotlight🔥] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.
RelBench: Relational Deep Learning Benchmark
[ECCV 2024] Implementation of latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
Implementation of SimNP: Learning Self-Similarities Between Neural Points
Tabular Deep Learning Library for PyTorch
Voxel grid k-nearest-neighbor queries in PyTorch
Deep Resource-Aware OpenCL Inference Networks
Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
Calculate signed distance fields for arbitrary meshes
Implementation of "Deep Graph Matching Consensus" in PyTorch
Vigil, the eternal morally vigilant programming language
Normal estimation for unstructured 3D point clouds using convolutional neural networks and a Mixture of Experts scale predictor.
Graph Neural Network Library for PyTorch
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
An Open Source Machine Learning Framework for Everyone
OpenCL library to train deep convolutional neural networks