Davis Rempe's starred repositories
OmniControl
OmniControl: Control Any Joint at Any Time for Human Motion Generation, ICLR 2024
circle_dataset
Companion tools and website for CIRCLE dataset.
Monocular-Depth-Estimation-Toolbox
Monocular Depth Estimation Toolbox based on MMSegmentation.
waymo-motion-prediction-challenge-2022-multipath-plus-plus
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
motion-diffusion-model
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
kaolin-wisp
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Contrastive-Future-Trajectory-Prediction
The official repository of the ICCV paper "On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors"
nuplan-devkit
The devkit of the nuPlan dataset.
contact-human-dynamics
Code for ECCV 2020 paper "Contacts and Human Dynamics from Monocular Video".
AgentFormer
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
nimblephysics
Nimble: Physics Engine for Biomechanics and Deep Learning
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
pyTorchChamferDistance
Implementation of the Chamfer Distance as a module for pyTorch
easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"