Hangliuuu/MICON-Bench
MICON-Bench:Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models MICON-Bench is a multi-image benchmark for evaluating image generation quality with a unified, checkpoint-based judge pipeline. Dynamic Attention Rebalancing (DAR) is a training-free, plug-and-play mechanism that adaptively adjusts attention during inference. 🔥 News 2026.2.21: 🎉 Congratulations! MICON-Bench has been accepted by CVPR 2026! 2026.2.18: Initial… See the full description on the dataset page: https://huggingface.co/datasets/Hangliuuu/MICON-Bench.
| Author / organization | Hangliuuu |
|---|---|
| Downloads | 280 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 February 2026 |
| Last updated at source | 22 February 2026 |
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- 16 Oct 2026 Description: MICON-Bench:Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models MICON-Bench is a multi-image benchmark for evaluating image generation quality with a unified, checkpoint-based judge pipeline. Dynamic → MICON-Bench:Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models MICON-Bench is a multi-image benchmark for evaluating image generation quality with a unified, checkpoint-based judge pipeline. Dynamic
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