Robotics has been widely applied for various fields such as automation and other control and engineering systems. Recent developments of humanoid and human-like robots are a milestone in the field of robotics, and they can be a platform for breaking new ground of robotics applications for human-...
And finally, neural fields over rather abstract feature spaces, also called dynamic fields, found successful applications in the cognitive sciences and in robotics. Up to now, research results in neural field theory have been disseminated across a number of distinct journals from mathematics, ...
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic JMLR Paper In this paper, we introduce two new formalisms for modeling structured data, and show that they can both capture rich structure and scale to big data. 2017 Answering FAQs in CSPs, Probabilistic Graphical Models, Databases, ...
{Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation}, author={Lin, Yunzhi and Müller, Thomas and Tremblay, Jonathan and Wen, Bowen and Tyree, Stephen and Evans, Alex and Vela, Patricio A. and Birchfield, Stan}, booktitle={IEEE International Conference on Robotics and ...
Iossifidis, I., Steinhage, A.: Controlling an 8 dof manipulator by means of neural fields. In: Proceedings of the IEEE Int. Conf. on Field and Service Robotics 2001 (2001) Krding, K.P., Tenenbaum, J.B.: Causal inference in sensorimotor integration. In: NIPS, pp. 737–744 (2006...
@inproceedings{Ortiz:etal:iSDF2022, title={iSDF: Real-Time Neural Signed Distance Fields for Robot Perception}, author={Ortiz, Joseph and Clegg, Alexander and Dong, Jing and Sucar, Edgar and Novotny, David and Zollhoefer, Michael and Mukadam, Mustafa}, booktitle={Robotics: Science and System...
Our framework adopts dynamic neural radiance fields to represent deformable surgical scenes in MLPs and optimize shapes and deformations in a learning-based manner. In addition to non-rigid deformations, tool occlusion and poor 3D clues from a single viewpoint are also particular challenges in soft ...
At the forefront of AI innovation, NVIDIA continues to push the boundaries of technology in machine learning, self-driving cars, robotics, graphics, simulation, and more. NVIDIA Research at NeurIPS Our accepted papers feature a range of groundbreaking research. From alias-free general adversarial net...
One big plus of neural radiance fields is that they operate on light fields that characterize shapes, textures and material effects directly -- the way different materials like cloth or metal look in light, for example. In contrast, other 3D processing techniques start with shapes and then add...
3D Multi-scene Stylization Based on Conditional Neural Radiance Fields Sijia Zhang, Ting Liu, Zhuoyuan Li, Yi Sun Pages 103-112 A Novel Entropy-Based Regularization for NeRF to View Synthesis in Few-Shot Scenarios Ting Liu, Sijia Zhang, Zhuoyuan Li, Yi Sun ...