Embedding Gaussian primitives into a ray tracing structure enables unified radio propagation simulation and view synthesis from visual-only reconstructions.
Least-squares estimation of transformation parameters between two point patterns
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INSANE releases multiple MAV datasets with cross-environment trajectories, rich multi-IMU and camera suites, high-rate vibration data, and sub-centimeter RTK GNSS ground truth for localization research.
GPVAE replaces the standard VAE latent prior with a temporal Gaussian process prior, combined with endoscopy-specific encoders and specular masking, to achieve up to 26.1% lower image reconstruction RMSE on the C3VDv2 colonoscopy dataset.
Decouples semantic and spatial tokens in NVS transformers to resolve representation ambiguity, yielding consistent gains with near-zero added latency.
MapDreamer synthesizes lane-level maps from aerial imagery via VAE latent encoding, transformer latent diffusion conditioned on aerial features, a lane cardinality module with ghost latents, and sliding-window graph aggregation, showing improved fidelity on UrbanLaneGraph data.
A 3D mechano-geometric multicellular model integrates cell mechanics, irreversible wall growth, and deformable geometry to simulate apical stem-cell-driven plant morphogenesis.
HeadsUp reconstructs high-quality 3D Gaussian heads from multi-view images via an encoder-decoder outputting UV-parameterized Gaussians on a neutral template, trained on over 10,000 subjects for generalization and downstream tasks.
An automated SPECT MPI-CTA fusion framework using U-Net segmentation, automatic landmarks, and point cloud registration (best: BCPD++) achieves 1.7 mm mean surface distance in 60 patients.
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3D mechano-geometric multicellular model of apical stem cell-driven plant morphogenesis
A 3D mechano-geometric multicellular model integrates cell mechanics, irreversible wall growth, and deformable geometry to simulate apical stem-cell-driven plant morphogenesis.