3D 视觉

MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures

Zhiqin Chen, Thomas Funkhouser, Peter Hedman, Andrea Tagliasacchi

专题命中 NeRF ：NeRF(abstract,comments)；分类 cs.CV、cs.GR

Comments CVPR 2023. Project page: https://mobile-nerf.github.io, code: https://github.com/google-research/jax3d/tree/main/jax3d/projects/mobilenerf

Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation

Xian Liu, Yinghao Xu, Qianyi Wu, Hang Zhou, Wayne Wu, Bolei Zhou

专题命中 NeRF ：NeRF(abstract,comments)；分类 cs.CV、cs.GR

Comments 12 pages, 3 figures. Project page: https://alvinliu0.github.io/projects/SSP-NeRF

Baking Neural Radiance Fields for Real-Time View Synthesis

Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul Debevec

专题命中 NeRF ：NeRF(abstract,comments)；分类 cs.CV、cs.GR

Comments Project page: https://nerf.live

DiffSoup: Direct Differentiable Rasterization of Triangle Soup for Extreme Radiance Field Simplification

DiffSoup：三角汤的直接可微化着色以实现极端辐射场简化

Kenji Tojo, Bernd Bickel, Nobuyuki Umetani

机构 * The University of Tokyo（东京大学） ； ETH Zürich（苏黎世联邦理工学院） 纠错

专题命中 NeRF ：Gaussian Splatting(abstract)；分类 cs.CV、cs.GR

AI总结 本文提出DiffSoup，一种利用少量三角形和神经纹理的辐射场表示，通过随机遮罩实现直接可微的二进制不透明度，从而在无需平滑着色的情况下实现高效的实时渲染。

Comments v2: Corrected all parameter counts in the "# Params" column of Table 3, which were incorrectly reported as 10 times smaller. This correction does not affect the discussion or conclusions drawn from the comparison

HERE: Hierarchical Active Exploration of Radiance Field with Epistemic Uncertainty Minimization

HERE：基于证据深度学习的辐射场分层主动探索

Taekbeom Lee, Dabin Kim, Youngseok Jang, H. Jin Kim

机构 * Department of Aerospace Engineering, Seoul National University（航空航天工程系，首尔国立大学） 纠错

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

AI总结 本文提出HERE框架，通过主动学习策略生成相机轨迹，结合证据深度学习量化epistemic不确定性，提升3D场景重建的精度和效率。

Comments Accepted to IEEE RA-L. The first two authors contributed equally

Neural Radiance Maps for Extraterrestrial Navigation and Path Planning

神经辐射图用于外星导航和路径规划

Adam Dai, Shubh Gupta, Grace Gao

机构 * Stanford University（斯坦福大学） 纠错

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

AI总结 本文提出利用神经辐射场构建地图，用于自主导航中的路径规划，通过整合局部和全局信息，实现更高效的路径规划。

Comments Published in the Proceedings of the ION GNSS+ 2023 Conference

ShinyNeRF: Digitizing Anisotropic Appearance in Neural Radiance Fields

ShinyNeRF：神经辐射场中各向异性外观的数字化

Albert Barreiro, Roger Marí, Rafael Redondo, Gloria Haro, Carles Bosch

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

AI总结 ShinyNeRF 通过联合估计表面法线、切线、镜面浓度和各向异性程度，实现了对各向异性镜面反射的高效数字化，同时提供了物理可解释的材料属性编辑。

Splat the Net: Radiance Fields with Splattable Neural Primitives

Splat the Net: 基于可拆分神经原语的光场

Xilong Zhou, Bao-Huy Nguyen, Loïc Magne, Vladislav Golyanik, Thomas Leimkühler, Christian Theobalt

机构 * Max Planck Institute for Informatics（马克斯·普朗克研究所信息学研究所） 纠错

专题命中 NeRF ：Gaussian Splatting(abstract)；分类 cs.CV、cs.GR

AI总结 Splat the Net提出了一种新的体积表示方法，结合神经网络的表达力和原语散射的效率，通过可拆分的神经原语实现高效且高质量的3D场景建模。

ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields

ZS-SRT: 一种高效的零样本超分辨率训练方法用于神经辐射场

Xiang Feng, Yongbo He, Yubo Wang, Chengkai Wang, Zhenzhong Kuang, Jiajun Ding, Feiwei Qin, Jun Yu, Jianping Fan

机构 * School of Computer Science and Technology, Hangzhou Dianzi University（杭州电子科技大学计算机科学与技术学院） ； AI Lab at Lenovo Research（联想研究院人工智能实验室） 纠错

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

AI总结 ZS-SRT提出了一种无需高分辨率数据的NeRF超分辨率训练方法，通过内部学习和反向渲染提升训练效率与图像质量。

Journal ref Neurocomputing, Volume 590, 14 July 2024, Article 127714

Advancing Talking Head Generation: A Comprehensive Survey of Multi-Modal Methodologies, Datasets, Evaluation Metrics, and Loss Functions

推进说话头生成：多模态方法、数据集、评估指标和损失函数的全面综述

Vineet Kumar Rakesh, Soumya Mazumdar, Research Pratim Maity, Sarbajit Pal, Amitabha Das, Tapas Samanta

机构 * Engineering Sciences, Homi Bhabha National Institute Training School Complex（工程科学，霍米·巴赫瓦全国研究所培训学校） ； Computer and Informatics Group, VECC 1/AF（计算机与信息组，VECC 1/AF） 纠错

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

AI总结 本文全面综述了说话头生成的多模态方法、数据集、评估指标和损失函数，探讨了技术挑战与未来发展方向。

CropNeRF: A Neural Radiance Field-Based Framework for Crop Counting

CropNeRF: 一种基于神经辐射场的作物计数框架

Md Ahmed Al Muzaddid, William J. Beksi

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

AI总结 CropNeRF通过3D实例分割实现精确作物计数，结合神经辐射场与可见性评分，无需参数调优，验证于多个农业数据集，表现优于现有方法。

Comments 8 pages, 10 figures, and 2 tables

ROGR: Relightable 3D Objects using Generative Relighting

ROGR：基于生成光照的可重照明3D物体

Jiapeng Tang, Matthew Levine, Dor Verbin, Stephan J. Garbin, Matthias Nießner, Ricardo Martin Brualla, Pratul P. Srinivasan, Philipp Henzler

机构 * Google Research（谷歌研究） ； Google Deepmind（谷歌DeepMind） ； Technical University of Munich（慕尼黑技术大学） 纠错

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

AI总结 ROGR通过生成光照模型实现可重照明的3D物体重建，采用双分支架构的光照条件NeRF，高效生成任意环境光照下的物体外观。

Comments NeurIPS 2025 Spotlight. Project page: https://tangjiapeng.github.io/ROGR

When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models

Xianzheng Ma, Brandon Smart, Yash Bhalgat, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H Torr, Marc Pollefeys, Matthias Nießner, Ian D Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu

机构 * University of Oxford（牛津大学） ； King Abdullah University of Science and Technology（国王 Abdullah 科学与技术大学） ； Technical University of Munich（慕尼黑技术大学） ； Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学） ； Simon Fraser University（西蒙·弗雷泽大学） ； ETH Zurich（苏黎世联邦理工学院） 纠错

专题命中 NeRF ：point cloud(abstract)；分类 cs.CV、cs.RO

Comments 2nd version update to Jun.2025

SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification

Yifu Tao, Maurice Fallon

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

Comments Accepted by T-RO. Webpage: https://dynamic.robots.ox.ac.uk/projects/silvr/

fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence

Francis Williams, Jiahui Huang, Jonathan Swartz, Gergely Klár, Vijay Thakkar, Matthew Cong, Xuanchi Ren, Ruilong Li, Clement Fuji-Tsang, Sanja Fidler, Eftychios Sifakis, Ken Museth

机构 * NVIDIA Research（NVIDIA研究） ； University of Wisconsin-Madison（威斯康星大学麦迪逊分校） 纠错

专题命中 NeRF ：point cloud(abstract)；分类 cs.CV、cs.GR

Stylizing Sparse-View 3D Scenes with Hierarchical Neural Representation

Y. Wang, A. Gao, Y. Gong, Y. Zeng

机构 * Southern University of Science and Technology（南方科技大学） 纠错

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

Journal ref 2025

NeRFs in Robotics: A Survey

Guangming Wang, Lei Pan, Songyou Peng, Shaohui Liu, Chenfeng Xu, Yanzi Miao, Wei Zhan, Masayoshi Tomizuka, Marc Pollefeys, Hesheng Wang

机构 * University of Cambridge, UK（剑桥大学） ； China University of Mining and Technology（中国矿业大学） ； ETH Zurich（苏黎世联邦理工学院） ； University of California, Berkeley, USA（加州大学伯克利分校） ； Shanghai Jiao Tong University（上海交通大学） 纠错

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

Comments 31 pages, 19 figures, accepted by The International Journal of Robotics Research, 2025

ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization

Wenzhao Li, Tianhao Wu, Fangcheng Zhong, Cengiz Oztireli

机构 * University of Cambridge（剑桥大学） 纠错

专题命中 NeRF ：3D reconstruction(abstract)；分类 cs.CV、cs.GR

Comments Accepted at WACV 2025. The published version is available at https://ieeexplore.ieee.org/document/10944114

MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities

Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

Comments Accepted at CVPR 2025

FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields

Kwan Yun, Chaelin Kim, Hangyeul Shin, Junyong Noh

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

Comments CVPR2025, 11 pages, 14 figures

Data Augmentation for NeRFs in the Low Data Limit

Ayush Gaggar, Todd D. Murphey

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

Comments To be published in 2025 IEEE International Conference on Robotics and Automation (ICRA 2025)

SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection

Yifu Tao, Yash Bhalgat, Lanke Frank Tarimo Fu, Matias Mattamala, Nived Chebrolu, Maurice Fallon

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

Comments Accepted at ICRA 2024; Website: https://ori-drs.github.io/projects/silvr/

PrismAvatar: Real-time animated 3D neural head avatars on edge devices

Prashant Raina, Felix Taubner, Mathieu Tuli, Eu Wern Teh, Kevin Ferreira

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

Comments 8 pages, 5 figures

Rethinking Score Distillation as a Bridge Between Image Distributions

David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

Comments NeurIPS 2024. Project webpage: https://sds-bridge.github.io/

A Probabilistic Formulation of LiDAR Mapping with Neural Radiance Fields

Matthew McDermott, Jason Rife

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

Real-time 3D-aware Portrait Video Relighting

Ziqi Cai, Kaiwen Jiang, Shu-Yu Chen, Yu-Kun Lai, Hongbo Fu, Boxin Shi, Lin Gao

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

Comments Accepted to CVPR 2024 (Highlight). Project page: http://geometrylearning.com/VideoRelighting

Joker: Conditional 3D Head Synthesis with Extreme Facial Expressions

Malte Prinzler, Egor Zakharov, Vanessa Sklyarova, Berna Kabadayi, Justus Thies

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

Comments Project Page: https://malteprinzler.github.io/projects/joker/

TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes

Christopher Maxey, Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Dinesh Manocha, Heesung Kwon

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

Comments 8 pages, submitted to ICRA2025

NARF24: Estimating Articulated Object Structure for Implicit Rendering

Stanley Lewis, Tom Gao, Odest Chadwicke Jenkins

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

Comments extended abstract as submitted to ICRA@40 anniversary conference

Style-NeRF2NeRF: 3D Style Transfer From Style-Aligned Multi-View Images

Haruo Fujiwara, Yusuke Mukuta, Tatsuya Harada

专题命中 NeRF ：NeRF(abstract)；分类 cs.CV、cs.GR

Comments 16 pages, 9 figures