3D 视觉

Task-Aware 3D Affordance Segmentation via 2D Guidance and Geometric Refinement

Lian He, Meng Liu, Qilang Ye, Yu Zhou, Xiang Deng, Gangyi Ding

专题命中 点云 ：point cloud(abstract)；分类 cs.CV

Is clustering enough for LiDAR instance segmentation? A state-of-the-art training-free baseline

Corentin Sautier, Gilles Puy, Alexandre Boulch, Renaud Marlet, Vincent Lepetit

专题命中 点云 ：point cloud(abstract)；分类 cs.CV

Comments Accepted at 3DV 2026 Alpine ranks first in the leaderboard of SemanticKITTI's panoptic segmentation

LiDAR Accuracy on North American Mountain Summits

Eric Gilbertson, Richard Hensley, Andrew Kirmse, Kyle Bretherton, Kathryn Stanchak

专题命中 点云 ：point cloud(abstract)

Environment-Aware Transfer Reinforcement Learning for Sustainable Beam Selection

Dariush Salami, Ramin Hashemi, Parham Kazemi, Mikko A. Uusitalo

机构 * Nokia Bell Labs（诺基亚贝尔实验室） ； Nokia Standards（诺基亚标准） 纠错

专题命中 点云 ：point cloud(abstract)

Comments Accepted to be published in a workshop in IEEE GLOBECOM 2025

CloseUpShot: Close-up Novel View Synthesis from Sparse-views via Point-conditioned Diffusion Model

Yuqi Zhang, Guanying Chen, Jiaxing Chen, Chuanyu Fu, Chuan Huang, Shuguang Cui

机构 * Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen)（深圳未来网络智能研究院（FNii-深圳）） ； Chinese University of Hong Kong at Shenzhen (CUHKSZ)（香港中文大学（深圳）） ； Sun Yat-sen University（中山大学） 纠错

专题命中 新视角合成 ：novel view synthesis(title,abstract)；point cloud(abstract)；分类 cs.CV

Comments Project Link: https://zyqz97.github.io/CloseUpShot/

Appreciate the View: A Task-Aware Evaluation Framework for Novel View Synthesis

Saar Stern, Ido Sobol, Or Litany

机构 * Technion（技术学院） ； NVIDIA（英伟达） 纠错

专题命中 新视角合成 ：novel view synthesis(title,abstract)；分类 cs.CV

Comments 3DV 2026. Project page: https://saarst.github.io/appreciate-the-view-website

3D-free meets 3D priors: Novel View Synthesis from a Single Image with Pretrained Diffusion Guidance

Taewon Kang, Divya Kothandaraman, Dinesh Manocha, Ming C. Lin

专题命中 新视角合成 ：novel view synthesis(title,abstract)；分类 cs.CV

Comments Accepted to The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26), AAAI 2026 Workshop on AI for Environmental Science (AI4ES). Due to arXiv's 1,920-character limit, the abstract here is shortened. Please refer to the paper (View PDF) to read the full abstract. 14 pages, 13 figures, v5: AAAI-26 camera-ready version

LSS3D: Learnable Spatial Shifting for Consistent and High-Quality 3D Generation from Single-Image

Zhuojiang Cai, Yiheng Zhang, Meitong Guo, Mingdao Wang, Yuwang Wang

机构 * Tsinghua University, Beijing, China（清华大学） ； Beihang University, Beijing, China（北航） ； National University of Singapore, Singapore（国立新加坡大学） 纠错

专题命中 3D生成 ：3D generation(title,abstract)；分类 cs.CV

AnchorDS: Anchoring Dynamic Sources for Semantically Consistent Text-to-3D Generation

Jiayin Zhu, Linlin Yang, Yicong Li, Angela Yao

专题命中 3D生成 ：3D generation(title)；分类 cs.CV

Comments Accepted by AAAI 2026. Project page: https://jyzhu.top/AnchorDS_Webpage/

PhysX-Anything: Simulation-Ready Physical 3D Assets from Single Image

Ziang Cao, Fangzhou Hong, Zhaoxi Chen, Liang Pan, Ziwei Liu

机构 * S-Lab, Nanyang Technological University（南洋理工大学S实验室） ； Shanghai AI Lab（上海人工智能实验室） 纠错

专题命中 3D生成 ：3D generation(abstract)；分类 cs.CV、cs.RO

Comments Project page: https://physx-anything.github.io/

Optimizing Input of Denoising Score Matching is Biased Towards Higher Score Norm

Tongda Xu

机构 * AIR & CST, Tsinghua University（人工智能研究院与计算科学与技术系，清华大学） 纠错

专题命中 3D生成 ：3D generation(abstract)；分类 cs.CV

Comments NIPS 25 Workshop: Frontiers in Probabilistic Inference: Sampling Meets Learning

OPFormer: Object Pose Estimation leveraging foundation model with geometric encoding

Artem Moroz, Vít Zeman, Martin Mikšík, Elizaveta Isianova, Miroslav David, Pavel Burget, Varun Burde

机构 * Czech Institute of Informatics, Robotics and Cybernetics（捷克信息学、机器人学与自动化研究所） ； Czech Technical University in Prague（布拉格捷克技术大学） 纠错

专题命中 SLAM与定位 ：NeRF(abstract)；分类 cs.CV、cs.RO

3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation

Seonho Lee, Jiho Choi, Inha Kang, Jiwook Kim, Junsung Park, Hyunjung Shim

专题命中 其他3D视觉 ：3D vision(abstract)；分类 cs.CV