3 papers
cs.CV2025
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations
Zhihao Yuan, Shuyi Jiang, Chun-Mei Feng +4
Currently, utilizing large language models to understand the 3D world is becoming popular. Yet existing 3D-aware LLMs act as black boxes: they output bounding boxes or textual answ…
cs.CV2025
Empowering Large Language Models with 3D Situation Awareness
Zhihao Yuan, Yibo Peng, Jinke Ren +7
Driven by the great success of Large Language Models (LLMs) in the 2D image domain, their applications in 3D scene understanding has emerged as a new trend. A key difference betwee…
cs.CV2025
PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models
Zilu Guo, Hongbin Lin, Zhihao Yuan +6
3D Multimodal Large Language Models (MLLMs) have recently made substantial advancements. However, their potential remains untapped, primarily due to the limited quantity and subopt…