Summary of Lmm-pcqa: Assisting Point Cloud Quality Assessment with Lmm, by Zicheng Zhang et al.
LMM-PCQA: Assisting Point Cloud Quality Assessment with LMM
by Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi Li, Wei Sun, Chaofeng Chen, Xiongkuo Min, Xiaohong Liu, Weisi Lin, Guangtao Zhai
First submitted to arxiv on: 28 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the integration of large multi-modality models (LMMs) into Point Cloud Quality Assessment (PCQA), a previously unexplored area. The authors fine-tune LMMs using text supervision, transforming quality labels into textual descriptions to enable LMMs to derive quality rating logits from 2D projections of point clouds. They also extract structural features to compensate for the loss of perception in the 3D domain. The combination of quality logits and structural features is then regressed into quality scores. The experimental results demonstrate the effectiveness of this approach, showcasing a novel integration of LMMs into PCQA that enhances model understanding and assessment accuracy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary LMMs are super smart computers that can help us assess the quality of 3D objects. Right now, they’re really good at judging things in 2D images, but we want to use them for 3D point clouds too! To make this happen, we need to teach the LMMs what “good” or “bad” looks like in a 3D world. We do this by writing descriptions of how good or bad something is and then giving those descriptions to the LMM. The LMM then learns to recognize patterns that indicate high or low quality. This new way of working with LMMs helps us make better judgments about 3D objects, which could be really useful for all sorts of things like designing buildings or creating video games. |
Keywords
» Artificial intelligence » Logits
