M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions

Mingsheng Li, Xin Chen, C. Zhang, Sijin Chen, Hongyuan Zhu +4 more
2/14/2026

No confident code implementation found for this paper. 2 possible matches can be shown below.

DOISemantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning

96% match2026

Super Deep Contrastive Information Bottleneck for Multi-modal Clustering

95% match1 repo22026

Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning

94% match2026

MultiGen: Zero-Shot Image Generation from Multi-modal Prompts

93% match2026

Cross-modal Representation Flattening for Multi-modal Domain Generalization

93% match2026

An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions

93% match2026

Cite this paper

@article{li2026mdbench,
  title  = {M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions},
  author = {Mingsheng Li and Xin Chen and C. Zhang and Sijin Chen and Hongyuan Zhu and Fukun Yin and Zhuoyuan Li and Gang Yu and Tao Chen},
  year   = {2026},
  doi    = {10.1007/978-3-031-73636-0_3},
  url    = {https://doi.org/10.1007/978-3-031-73636-0_3},
  journal = {ECCV 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/48d7ef0d5ed78ff18d4f78a52ac4bd45b52490b8.svg)](https://codeofpaper.com/paper/48d7ef0d5ed78ff18d4f78a52ac4bd45b52490b8)

Discussion