Regular Archival Submissions
Up to 14 pages, including figures and tables, using Springer LNCS formatting; additional pages containing only cited references are permitted.
Computer Vision/CORE Unranked
MUCG 2026
2nd Workshop on MUCG: Multimodal Large Language Models for Unified Comprehension and Generation
The 2nd MUCG @ ECCV 2026 workshop focuses on Multimodal Large Language Models for Unified Comprehension and Generation, bringing together researchers to advance systems that jointly understand and generate across multiple modalities such as image, video, audio, and 3D. The workshop emphasizes unified architectures, synergistic learning, benchmarking, and practical challenges in building general-purpose multimodal AI.
Key deadlines
Verified September 9, 2026Full 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.
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