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Paper titled “Diffusion Forcing for Multi-Agent Interaction Sequence Modeling”…

2026-03-27 · 05:28 UTC ·@JitendraMalikCV ·0 min read

Brief

Vongani Maluleke and collaborators (including Jitendra Malik and Angjoo Kanazawa) release a paper, project page, and code for MAGNet: “Diffusion Forcing for Multi-Agent Interaction Sequence Modeling” (arXiv:2512.17900). The work proposes a diffusion-based forcing approach to forecast and generate coordinated multi-person interactions; resources and implementation are hosted at von31.github.io/MAGNet and github.com/Von31/MAGNet-code.

Why it matters

Paper titled “Diffusion Forcing for Multi-Agent Interaction Sequence Modeling” posted to arXiv as 2512.17900 (Dec 2025) and linked by Vongani Maluleke (@vonekels).

Key details

  • Project and code are available: project page von31.github.io/MAGNet and code at github.com/Von31/MAGNet-code; authors/collaborators include Vongani Maluleke, K. Iehoriuchi, Lea Müller (@LeaMue27), Evonne Ng, Jitendra Malik (@JitendraMalikCV), and Angjoo Kanazawa (@akanazawa).
Source evidence

Forecasting models for multi-people interaction

Vongani Maluleke (@vonekels)

Grateful for my amazing collaborators: @kiehoriuchi, @LeaMue27, Evonne Ng, @JitendraMalikCV, and @akanazawa

Check out our paper, project page and code for more details:
📎Paper: arxiv.org/abs/2512.17900
🌐Page: von31.github.io/MAGNet
🖥️ Code: github.com/Von31/MAGNet-code

Link

Diffusion Forcing for Multi-Agent Interaction Sequence Modeling

Understanding and generating multi-person interactions is a fundamental challenge with broad implications for robotics and social computing. While humans naturally coordinate in groups, modeling...
arxiv.org

— https://nitter.net/vonekels/status/2037350778164363527#m