MUCG 2026

Deadlines
Computer Vision/CORE Unranked

MUCG 2026

2nd Workshop on MUCG: Multimodal Large Language Models for Unified Comprehension and Generation

Sep 08 2026Malmö, SwedenOfficial workshop site Site reachable

The 2nd MUCG workshop at ECCV 2026 focuses on unified multimodal large language models that integrate comprehension and generation across multiple modalities such as image, video, audio, and 3D. It aims to bring together researchers to discuss architectures, training methods, evaluation benchmarks, and practical challenges in building general-purpose multimodal AI systems.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

July 26, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

July 26, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Regular Archival Submissions

Up to 14 pages, including figures and tables, using Springer LNCS formatting; additional pages containing only cited references are permitted.

Research areas in scope

01

Unified Multimodal Understanding

CaptioningVQAretrievalgroundingsegmentationreasoningvisual document understandinglong-video understandingcross-modal knowledge extraction
02

Unified Multimodal Content Generation

Text-to-image/videoimage-to-imagecontrollable generationsequential image generationvisual editingcross-modal generative modeling
03

Unified MLLM Understanding and Generation

Architectures and objectives that jointly model comprehension and generation, including autoregressive, diffusion, flow-based, and hybrid paradigms
04

Synergistic Learning

How understanding and generation, or different modalities and tasks, can mutually enhance each other during pre-training, instruction tuning, and post-training
05

Benchmarking and Evaluation

Evaluation protocols and benchmarks for unified multimodal systems, including realism, controllability, generalization, reasoning, and fair comparison
06

Broader Directions

Reinforcement learning for unified modelingmultimodal chain-of-thoughtjoint vision-language/audio/3D modelscross-task transferefficient training

Policies worth checking twice

  • Submissions must follow the ECCV 2026 template and be uploaded through OpenReview.
  • The review process is double-blind.
  • Conflicts of interest will be handled according to the ECCV 2026 Submission Policy.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026