Scene flow estimation by depth map upsampling and layer assignment for camera-LiDAR system
PulseAugur coverage of Scene flow estimation by depth map upsampling and layer assignment for camera-LiDAR system — every cluster mentioning Scene flow estimation by depth map upsampling and layer assignment for camera-LiDAR system across labs, papers, and developer communities, ranked by signal.
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Diffusion model enhances stereo matching with Saliency Attention Perception
Researchers have developed StereoDiffuer, a novel diffusion-based framework for stereo matching that aims to improve the preservation of fine-grained geometric details. This method iteratively refines disparity estimate…
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STEREOFLOW advances stereo matching with generative framework and diffusion transformer · 2 sources tracked
Researchers have introduced STEREOFLOW, a novel generative framework for stereo matching that addresses limitations in traditional deterministic regression approaches. This new method integrates deterministic matching w…
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HilDA framework advances self-supervised LiDAR pre-training for autonomous driving
Researchers have introduced HilDA, a novel self-supervised pretraining framework designed to enhance LiDAR backbones for autonomous driving applications. This framework leverages Vision Foundation Models (VFMs) for hier…