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6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation
March 25, 2024, 4:45 a.m. | Li Xu, Haoxuan Qu, Yujun Cai, Jun Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: Estimating the 6D object pose from a single RGB image often involves noise and indeterminacy due to challenges such as occlusions and cluttered backgrounds. Meanwhile, diffusion models have shown appealing performance in generating high-quality images from random noise with high indeterminacy through step-by-step denoising. Inspired by their denoising capability, we propose a novel diffusion-based framework (6D-Diff) to handle the noise and indeterminacy in object pose estimation for better performance. In our framework, to establish accurate …
abstract arxiv challenges cs.cv denoising diff diffusion diffusion models framework image images noise object performance quality random step-by-step through type
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