DRUMS: Drummer Reconstruction Using Midi Sequences

ACM SIGGRAPH MIG 2025 (Zurich)
1University of Cyprus, 2CYENS Centre of Excellence
DRUMS System Overview

Given as input a MIDI of drums (music signal), our method predicts full-body expressive animation.

Abstract

We present a system for generating expressive, full-body drumming performances from MIDI input, combining rhythmic precision with lifelike motion. Unlike prior work that focuses on limited gestures or audio-driven models, our approach produces coordinated animations of the entire performer, including hands, torso, legs, and facial expressions, driven solely by symbolic MIDI. Our system integrates a Bi-directional LSTM to predict fine-grained 3D hand trajectories, using sticks parented to the hands and synchronized with MIDI events. It also includes a retrieval-based module that generates expressive upper-body and facial motion conditioned on musical phrasing, and a pedal enforcement component that procedurally animates the feet. Our method addresses the unique challenges of drumming, where rhythm is both heard and seen in dynamic, physically grounded motion. To the best of our knowledge, this is the first system to generate full-body drum performances from raw MIDI. Our approach enables new applications in virtual concerts, immersive training, game animation, and digital avatar performance.

Video Presentation

BibTeX

@inproceedings{10.1145/3769047.3769066,
author = {Kyriakou, Theodoros and Charalambous, Panayiotis and Aristidou, Andreas},
title = {DRUMS: Drummer Reconstruction Using Midi Sequences},
year = {2025},
isbn = {9798400722363},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3769047.3769066},
doi = {10.1145/3769047.3769066},
booktitle = {Proceedings of the 2025 18th ACM SIGGRAPH Conference on Motion, Interaction, and Games},
articleno = {11},
numpages = {7},
keywords = {Animation, Drums Performance, MIDI-to-Motion, Motion Capture},
series = {MIG '25}
}