NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Structure-from-Motion Revisited

Schonberger, J. L., & Frahm, J.-M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.445 · Cited by 6,433 · see citing works

NeRF: representing scenes as neural radiance fields for view synthesis

Mildenhall, B., Srinivasan, P. P., Tancik, M., Barron, J. T., Ramamoorthi, R., & Ng, R. (2022) · Communications of the ACM · doi:10.1145/3503250 · Cited by 6,852 · see citing works

3D Gaussian Splatting for Real-Time Radiance Field Rendering

Kerbl, B., Kopanas, G., Leimkuehler, T., & Drettakis, G. (2023) · ACM Transactions on Graphics · doi:10.1145/3592433 · Cited by 6,025 · see citing works

Data augmentation: A comprehensive survey of modern approaches

Mumuni, A., & Mumuni, F. (2022) · Array · doi:10.1016/j.array.2022.100258 · Cited by 891 · see citing works

MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Zhang, M., Cai, Z., Pan, L., Hong, F., Guo, X., Yang, L., & Liu, Z. (2022) · arXiv · doi:10.48550/arxiv.2208.15001 · Cited by 437 · see citing works

Perceiver: General Perception with Iterative Attention

Jaegle, A., Gimeno, F., Brock, A., Zisserman, A., Vinyals, O., & Carreira, J. (2021) · arXiv · doi:10.48550/arxiv.2103.03206 · Cited by 414 · see citing works

Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models

Höllein, L., Cao, A., Owens, A., Johnson, J., & Nießner, M. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00727 · Cited by 167 · see citing works

3D Object Detection from Images for Autonomous Driving: A Survey

Ma, X., Ouyang, W., Simonelli, A., & Ricci, E. (2022) · arXiv · doi:10.48550/arxiv.2202.02980 · Cited by 147 · see citing works

DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation

Shen, S., Zhao, W., Meng, Z., Li, W., Zhu, Z., Zhou, J., & Lu, J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.00197 · Cited by 133 · see citing works

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Jiang, Z., Zhu, Y., Svetlik, M., Fang, K., & Zhu, Y. (2021) · Robotics: Science and Systems XVII · doi:10.15607/rss.2021.xvii.024 · Cited by 122 · see citing works

Holodeck: Language Guided Generation of 3D Embodied AI Environments

Yang, Y., Sun, F.-Y., Weihs, L., Vanderbilt, E., Herrasti, A., Han, W., Wu, J., Haber, N., Krishna, R., Liu, L., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52733.2024.01536 · Cited by 101 · see citing works

Satellite Pose Estimation Competition 2021: Results and Analyses

Park, T. H., Märtens, M., Jawaid, M., Wang, Z., Chen, B., Chin, T.-J., Izzo, D., & D’Amico, S. (2023) · Acta Astronautica · doi:10.1016/j.actaastro.2023.01.002 · Cited by 91 · see citing works

Recent Advancements in Learning Algorithms for Point Clouds: An Updated Overview

Camuffo, E., Mari, D., & Milani, S. (2022) · Sensors · doi:10.3390/s22041357 · Cited by 73 · see citing works

Deep learning for visual speech analysis: A survey

Sheng, C., Kuang, G., Bai, L., Hou, C., Guo, Y., Xu, X., Pietikäinen, M., & Liu, L. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3376710 · Cited by 64 · see citing works

Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation

Wang, G., Manhardt, F., Liu, X., Ji, X., & Tombari, F. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3136301 · Cited by 69 · see citing works

Intraoperative 2D/3D Image Registration via Differentiable X-Ray Rendering

Gopalakrishnan, V., Dey, N., & Golland, P. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52733.2024.01108 · Cited by 48 · see citing works

Multimodal fusion and vision–language models: A survey for robot vision

Han, X., Chen, S., Fu, Z., Feng, Z., Fan, L., An, D., Wang, C., Guo, L., Meng, W., Zhang, X., et al. (2026) · Information Fusion · doi:10.1016/j.inffus.2025.103652 · Cited by 41 · see citing works

Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation

Huang, Z., Lin, X., & Held, D. (2022) · Robotics: Science and Systems XVIII · doi:10.15607/rss.2022.xviii.011 · Cited by 39 · see citing works

Minimal theory of 3D vision: New approach to visual scale and visual shape.

Linton, P. (2023) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2021.0455 · Cited by 13 · see citing works

Cosmos World Foundation Model Platform for Physical AI

NVIDIA, :, Agarwal, N., Ali, A., Bala, M., Balaji, Y., Barker, E., Cai, T., Chattopadhyay, P., Chen, Y., et al. (2025) · arXiv · doi:10.48550/arxiv.2501.03575 · Cited by 13 · see citing works

RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation

Zhao, Y., Zhao, Z., Li, J., Dong, S., & Gao, S. (2024) · 2024 International Conference on 3D Vision (3DV) · doi:10.1109/3dv62453.2024.00132 · Cited by 10 · see citing works

Domain Generalization for In-Orbit 6D Pose Estimation

Legrand, A., Detry, R., & De Vleeschouwer, C. (2025) · Journal of Aerospace Information Systems · doi:10.2514/1.i011498 · Cited by 7 · see citing works

Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering

Di Sario, F., Renzulli, R., Tartaglione, E., & Grangetto, M. (2025) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-73010-8_11 · Cited by 3 · see citing works

SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix

Dai, P., Tan, F., Xu, Q., Futschik, D., Du, R., Fanello, S., Qi, X., & Zhang, Y. (2024) · arXiv · doi:10.48550/arxiv.2407.00367

From Pixel to Mesh: Accelerating Game Asset Creation via a Semantically-Guided 2D-to-3D Generative Pipeline

Hu, J., Li, J., Wang, Z., Li, Z., Chan, K.-C., Ma, X., Jiang, Z., & Zhang, Y. (2026) · AHFE International · doi:10.54941/ahfe1007640

Rigel3D: Rig-aware Latents for Animation-Ready 3D Asset Generation

Chatzis, N., Loizou, M., & Kalogerakis, E. (2026) · arXiv · doi:10.48550/arxiv.2605.13129

MTReD: 3D Reconstruction Dataset for Fly-over Videos of Maritime Domain

Yong, R. Y., Picosson, S., & Wiliem, A. (2025) · arXiv · doi:10.48550/arxiv.2503.00853