🚀 Introducing PerceptionDLM — the first multimodal diffusion LLM for parallel region perception!
Most MLLMs are autoregressive, so captioning N regions costs N sequential passes. PerceptionDLM instead describes ALL masked regions in a single denoising process. 🧩
✨ Highlights • ⚡ Up to 3.4× faster on dense multi-region captioning, with stable per-image latency • 🏆 PerceptionDLM-Base beats LLaDA-V on 15/16 multimodal benchmarks (new SOTA among open diffusion VLMs) • 📊 New benchmark: ParaDLC-Bench — jointly evaluates caption quality AND inference efficiency • 🔓 Code, models & benchmark all open-sourced