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D-PET: A direct 6 DoF pose estimation and tracking system on graphics processing units.

, , , and . ISCAS, page 1-4. IEEE, (2017)

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Generative Adversarial Networks for Content Creation.. University of California, Merced, USA, (2021)ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models., , , , , , , and . CoRR, (2024)Regularizing Generative Adversarial Networks Under Limited Data., , , , and . CVPR, page 7921-7931. Computer Vision Foundation / IEEE, (2021)Robust Dynamic Radiance Fields., , , , , , , , and . CVPR, page 13-23. IEEE, (2023)Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis., , , , and . CVPR, page 1429-1437. Computer Vision Foundation / IEEE, (2019)Modeling Artistic Workflows for Image Generation and Editing., , , , , and . ECCV (18), volume 12363 of Lecture Notes in Computer Science, page 158-174. Springer, (2020)Incremental False Negative Detection for Contrastive Learning., , , , and . ICLR, OpenReview.net, (2022)LEaD: Utilizing Light Movement as Peripheral Visual Guidance for Scooter Navigation., , , and . MobileHCI, page 323-326. ACM, (2015)Incremental False Negative Detection for Contrastive Learning., , , , and . CoRR, (2021)Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model., , , , and . CoRR, (2022)