The official PyTorch implementation of the paper "Human Motion Diffusion Model"
Role in this project:
ML Engineer Contributions:6 reviews, 20 commits, 7 PRs in 2 months
Contributions summary:Guy primarily contributed to the development and enhancement of the Human Motion Diffusion Model. They implemented data loading and processing functionalities, including the creation of a `Text2MotionDataset` class for text-to-motion generation. The commits also introduced training loops, evaluation methods, and motion editing capabilities, demonstrating a focus on model training, evaluation metrics, and practical application. They modified the code to include a wrapper for evaluating the model and added evaluation during the training loop.
pytorchdiffusionmotionpytorch-implementation
Contributions:6 commits, 4 pushes, 1 branch in 10 months