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Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors.

, , , и . CVPR, стр. 12221-12230. Computer Vision Foundation / IEEE, (2020)

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Maxim Zakharov

Vasily Zakharov

Dmitry Zakharov

Andrey Zakharov

Barbara Nitsche-Zakharov

 

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Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement., , , , , , , , , и . CoRR, (2022)Learning to Estimate 3D Object Pose from Synthetic Data.. Technical University of Munich, Germany, (2020)Neural Groundplans: Persistent Neural Scene Representations from a Single Image., , , , , , , , , и . ICLR, OpenReview.net, (2023)Photo-realistic Neural Domain Randomization., , , , и . ECCV (25), том 13685 из Lecture Notes in Computer Science, стр. 310-327. Springer, (2022)When Regression Meets Manifold Learning for Object Recognition and Pose Estimation., , , , и . ICRA, стр. 1-7. IEEE, (2018)Multi-View Object Pose Refinement With Differentiable Renderer., , , и . IEEE Robotics Autom. Lett., 6 (2): 2579-2586 (2021)DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation., , и . IEEE Trans. Pattern Anal. Mach. Intell., 44 (11): 7417-7435 (2022)Multi-Frame Self-Supervised Depth with Transformers., , , , и . CVPR, стр. 160-170. IEEE, (2022)ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization., , , , , и . ECCV (2), том 13662 из Lecture Notes in Computer Science, стр. 275-292. Springer, (2022)Single-Shot Scene Reconstruction., , , , , , , , , и . CoRL, том 164 из Proceedings of Machine Learning Research, стр. 501-512. PMLR, (2021)