Intern Lumina U2 unifies image, video, and 3D understanding in one diffusion LLM
bdsqlsz · x · 2026-09-05
The Intern team released Intern Lumina U2, a multi-codebook diffusion LLM unifying language, image, video, and 3D understanding with image generation and editing.
- Benchmarks (preliminary): ChartQA 86.52, CharXiv-DQ 83.65, HallusionBench 62.15, MMMU-Pro 36.13 — mostly beating InternVL-UL, LLaDA2.0-Uni, and LLaDA-o; Video-MME 51.26 on video; GenEval 0.81 and DPG 87.10 on generation, slightly behind some rivals.
- Method: a shared MoE Diffusion LLM backbone with discrete VQ levels for visual tokens; spatial positions processed in parallel while codebooks decode sequentially.
Page, code, and model are available; full technical report is upcoming.
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