% Key papers for Point-language and open-vocabulary 3D (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2022_pointclip_19597, title = {{PointCLIP: Point Cloud Understanding by CLIP}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2021_scan2cap_17825, title = {{Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2020_global_15608, title = {{Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{aaai2021_learning_876, title = {{Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/03056-learning-geometry-disentangled-representation-for-complementary-understanding-of-3d-object-point-cloud/}, } @inproceedings{cvpr2021_3d_16514, title = {{3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2021_bidirectional_16647, title = {{Bidirectional Projection Network for Cross Dimension Scene Understanding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2023_mvimgnet_21508, title = {{MVImgNet: A Large-Scale Dataset of Multi-View Images}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22840}, } @inproceedings{cvpr2022_3djcg_18187, title = {{3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2022_3d_18184, title = {{3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2024_ll3da_23893, title = {{LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding Reasoning and Planning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29865}, } @inproceedings{cvpr2022_x_20231, title = {{X-Trans2Cap: Cross-Modal Knowledge Transfer Using Transformer for 3D Dense Captioning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2023_clip2_20542, title = {{CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21103}, } @inproceedings{cvpr2023_eda_20869, title = {{EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22927}, } @inproceedings{cvpr2024_open3dsg_24376, title = {{Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29563}, } @inproceedings{aaai2022_simipu_2748, title = {{SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/01500-simipu-simple-2d-image-and-3d-point-cloud-unsupervised-pre-training-for-spatial-aware-visual-representations/}, } @inproceedings{cvpr2024_towards_25047, title = {{Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29887}, } @inproceedings{cvpr2024_towards_25060, title = {{Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30175}, } @inproceedings{cvpr2023_vl_22500, title = {{VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22846}, } @inproceedings{neurips2023_openshape_67447, title = {{OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/72286}, } @inproceedings{cvpr2023_masked_21541, title = {{Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22578}, } @inproceedings{cvpr2024_gpt4point_23559, title = {{GPT4Point: A Unified Framework for Point-Language Understanding and Generation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31298}, } @inproceedings{cvpr2024_cad_22892, title = {{CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30538}, } @inproceedings{neurips2024_opengaussian_70347, title = {{OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96750}, } @inproceedings{cvpr2024_clip_22915, title = {{CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29994}, } @inproceedings{aaai2024_point_6961, title = {{Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28323}, } @inproceedings{aaai2024_sgformer_7223, title = {{SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28197}, } @inproceedings{cvpr2024_draw_23263, title = {{Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion.}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31017}, } @inproceedings{cvpr2024_physical_24464, title = {{Physical Property Understanding from Language-Embedded Feature Fields}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29832}, } @inproceedings{aaai2024_mm_6586, title = {{MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28501}, } @inproceedings{cvpr2024_dgc_23083, title = {{DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30983}, } @inproceedings{cvpr2024_geometrically_23624, title = {{Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29775}, } @inproceedings{aaai2024_x4d_7833, title = {{X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28045}, } @inproceedings{cvpr2024_decotr_23116, title = {{DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29585}, } @inproceedings{cvpr2024_sculpting_24757, title = {{Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29352}, } @inproceedings{cvpr2025_lift3d_26791, title = {{Lift3D Policy: Lifting 2D Foundation Models for Robust 3D Robotic Manipulation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34011}, } @inproceedings{iclr2024_uni3d_35586, title = {{Uni3D: Exploring Unified 3D Representation at Scale}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17487}, }