{"total":46,"rows":[{"id":"2501.01428","title":"GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models","created":"2025-01-02","cited_by_count":109,"area":"mllm"},{"id":"2312.02980","title":"GPT4Point: A Unified Framework for Point-Language Understanding and Generation","created":"2023-12-05","cited_by_count":71,"area":"mllm"},{"id":"2402.05741","title":"Real-World Robot Applications of Foundation Models: A Review","created":"2024-02-08","cited_by_count":61,"area":"mllm"},{"id":"2405.10255","title":"When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models","created":"2024-05-16","cited_by_count":43,"area":"mllm"},{"id":"2411.16856","title":"SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE","created":"2024-11-25","cited_by_count":39,"area":"mllm"},{"id":"2506.01853","title":"ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding","created":"2025-06-02","cited_by_count":38,"area":"mllm"},{"id":"2306.06354","title":"EventCLIP: Adapting CLIP for Event-based Object Recognition","created":"2023-06-10","cited_by_count":36,"area":"mllm"},{"id":"2308.03135","title":"EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding","created":"2023-08-06","cited_by_count":34,"area":"mllm"},{"id":"2407.09781","title":"Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding","created":"2024-07-13","cited_by_count":16,"area":"mllm"},{"id":"2410.15364","title":"Scene Graph Generation with Role-Playing Large Language Models","created":"2024-10-20","cited_by_count":16,"area":"mllm"},{"id":"2301.07584","title":"Joint Representation Learning for Text and 3D Point Cloud","created":"2023-01-18","cited_by_count":14,"area":"mllm"},{"id":"2312.01529","title":"T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency","created":"2023-12-03","cited_by_count":14,"area":"mllm"},{"id":"2312.02244","title":"Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding","created":"2023-12-04","cited_by_count":13,"area":"mllm"},{"id":"2404.11605","title":"VG4D: Vision-Language Model Goes 4D Video Recognition","created":"2024-04-17","cited_by_count":11,"area":"mllm"},{"id":"2512.12768","title":"CoRe3D: Collaborative Reasoning as a Foundation for 3D Intelligence","created":"2025-12-14","cited_by_count":10,"area":"mllm"},{"id":"2404.16538","title":"OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images","created":"2024-04-25","cited_by_count":9,"area":"mllm"},{"id":"2506.05318","title":"Does Your 3D Encoder Really Work? When Pretrain-SFT from 2D VLMs Meets 3D VLMs","created":"2025-06-05","cited_by_count":8,"area":"mllm"},{"id":"2403.04908","title":"Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities","created":"2024-03-07","cited_by_count":7,"area":"mllm"},{"id":"2403.05141","title":"Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language Models","created":"2024-03-08","cited_by_count":5,"area":"mllm"},{"id":"2410.11564","title":"PAVLM: Advancing Point Cloud based Affordance Understanding Via Vision-Language Model","created":"2024-10-15","cited_by_count":4,"area":"mllm"},{"id":"2504.18738","title":"A Review of 3D Object Detection with Vision-Language Models","created":"2025-04-25","cited_by_count":4,"area":"mllm"},{"id":"2404.10146","title":"Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn Classification without Labels","created":"2024-04-15","cited_by_count":3,"area":"mllm"},{"id":"2604.02289","title":"Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation","created":"2026-04-02","cited_by_count":3,"area":"mllm"},{"id":"2605.16745","title":"EVA01: Unified Native 3D Understanding and Generation via Mixture-of-Transformers","created":"2026-05-16","cited_by_count":3,"area":"mllm"},{"id":"2505.15373","title":"RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation","created":"2025-05-21","cited_by_count":2,"area":"mllm"},{"id":"2603.00412","title":"PointAlign: Feature-Level Alignment Regularization for 3D Vision-Language Models","created":"2026-02-28","cited_by_count":2,"area":"mllm"},{"id":"2603.09173","title":"Point Cloud as a Foreign Language for Multi-modal Large Language Model","created":"2026-03-10","cited_by_count":2,"area":"mllm"},{"id":"2603.22782","title":"Know3D: Prompting 3D Generation with Knowledge from Vision-Language Models","created":"2026-03-24","cited_by_count":2,"area":"mllm"},{"id":"2603.27507","title":"Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM","created":"2026-03-29","cited_by_count":2,"area":"mllm"},{"id":"2308.10185","title":"ViT-Lens: Initiating Omni-Modal Exploration through 3D Insights","created":"2023-08-20","cited_by_count":1,"area":"mllm"},{"id":"2312.00663","title":"Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language Alignment","created":"2023-12-01","cited_by_count":1,"area":"mllm"},{"id":"2407.00905","title":"Learning Robust 3D Representation from CLIP via Dual Denoising","created":"2024-07-01","cited_by_count":1,"area":"mllm"},{"id":"2507.20110","title":"NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding","created":"2025-07-27","cited_by_count":1,"area":"mllm"},{"id":"2509.09064","title":"Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models","created":"2025-09-11","cited_by_count":1,"area":"mllm"},{"id":"2511.14271","title":"Let Language Constrain Geometry: Vision-Language Models as Semantic and Spatial Critics for 3D Generation","created":"2025-11-18","cited_by_count":1,"area":"mllm"},{"id":"2511.15311","title":"Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models","created":"2025-11-19","cited_by_count":1,"area":"mllm"},{"id":"2608.29285","title":"3D-MRL: Nested Multimodal 3D Representations via Matryoshka Representation Learning","created":"2026-08-29","cited_by_count":1,"area":"mllm"},{"id":"2506.22375","title":"Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation","created":"2025-06-27","cited_by_count":0,"area":"mllm"},{"id":"2601.04404","title":"3D-Agent:Tri-Modal Multi-Agent Collaboration for Scalable 3D Object Annotation","created":"2026-01-07","cited_by_count":0,"area":"mllm"},{"id":"2602.09425","title":"Bridging the Modality Gap in Roadside LiDAR: A Training-Free Vision-Language Model Framework for Vehicle Classification","created":"2026-02-10","cited_by_count":0,"area":"mllm"},{"id":"2603.22070","title":"Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning","created":"2026-03-23","cited_by_count":0,"area":"mllm"},{"id":"2604.15703","title":"P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models","created":"2026-04-17","cited_by_count":0,"area":"mllm"},{"id":"2606.18472","title":"Domain Generalizable Adaptation of 3D Vision-Language Models via Regularized Fine-Tuning","created":"2026-06-16","cited_by_count":0,"area":"mllm"},{"id":"2607.03661","title":"From Geometric Labels to Semantic Understanding of Indoor Building Components Using Multimodal Large Language Models","created":"2026-07-04","cited_by_count":0,"area":"mllm"},{"id":"2609.05583","title":"An overview of 3D Vision-Language Models","created":"2026-09-04","cited_by_count":0,"area":"mllm"},{"id":"2610.00855","title":"Lang3DSeg: Annotation-Free Open-Vocabulary 3D Segmentation with Point Transformers","created":"2026-10-01","cited_by_count":0,"area":"mllm"}],"next_cursor":null}