English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We introduce Point-Bind, a 3D multi-modality model aligning point clouds with2D image, language, audio, and video. Guided by ImageBind, we construct a jointembedding space between 3D and multi-modalities, enabling many promisingapplications, e.g., any-to-3D generation, 3D embedding arithmetic, and 3Dopen-world understanding. On top of this, we further present Point-LLM, thefirst 3D large language model (LLM) following 3D multi-modal instructions. Byparameter-efficient fine-tuning techniques, Point-LLM injects the semantics ofPoint-Bind into pre-trained LLMs, e.g., LLaMA, which requires no 3D instructiondata, but exhibits superior 3D and multi-modal question-answering capacity. Wehope our work may cast a light on the community for extending 3D point cloudsto multi-modality applications. Code is available athttps://github.com/ZiyuGuo99/Point-Bind_Point-LLM.

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following