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Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans.

, , , и . CVPR, стр. 3193-3203. Computer Vision Foundation / IEEE, (2021)

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Zhenyu Chen

Zhenyu Xiao

Colin Davenport

Genomic and metagenomic application of microbial genome signatures. MedH Hannover, (2009)

Zhenyu Shi

Zhenyu Tan

 

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Scan2Cap: Context-aware Dense Captioning in RGB-D Scans., , , и . CoRR, (2020)Text2Tex: Text-driven Texture Synthesis via Diffusion Models., , , , и . ICCV, стр. 18512-18522. IEEE, (2023)Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments., , , , , , и . CoRR, (2022)Generating Context-Aware Natural Answers for Questions in 3D Scenes., , и . BMVC, стр. 596-597. BMVA Press, (2023)When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models., , , , , , , , , и 7 other автор(ы). CoRR, (2024)Grounding Natural Language to 3D Scenes.. Technical University of Munich, Germany, (2024)UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding., , , , и . ICCV, стр. 18063-18073. IEEE, (2023)Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans., , , и . CVPR, стр. 3193-3203. Computer Vision Foundation / IEEE, (2021)SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors., , , , и . CoRR, (2023)ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language, , и . (2019)cite arxiv:1912.08830Comment: Video: https://youtu.be/T9J5t-UEcNA.