A CNN trained on AREPO simulations and synthetic observations reverts edge-on 13CO spectral data to top-down views of the CMZ as a proof-of-concept for supervised reversion.
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
6 Pith papers cite this work. Polarity classification is still indexing.
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2026 6representative citing papers
TOPOS creates high-fidelity 3D heads with fixed industry topology from single images via a specialized VAE with Perceiver Resampler and a rectified flow transformer.
A framework that structurally enforces divergence-free velocity and long-range transport coherence in 3D fluid reconstruction from 2D videos via divergence-free kernels advecting Lagrangian Gaussian splats.
Cumulative flow maps unify few-step generative modeling for diffusion and flow models via cumulative transport and parameterization with minimal changes to time embeddings and objectives.
CADFit recovers complex editable CAD construction sequences from meshes via IoU-driven hybrid optimization over structured programs, outperforming prior methods on volumetric IoU, Chamfer Distance, and invalid ratio.
A ray-tracing pipeline aligns ground-level image pixels to outdated DEM rasters for real-time 3D terrain reconstruction in wildfire zones, validated primarily through a custom simulator.
citing papers explorer
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IRIS: Deciphering Spectral-Line Imagery of the Galactic Center by Machine-Learning on Simulations
A CNN trained on AREPO simulations and synthetic observations reverts edge-on 13CO spectral data to top-down views of the CMZ as a proof-of-concept for supervised reversion.
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TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation
TOPOS creates high-fidelity 3D heads with fixed industry topology from single images via a specialized VAE with Perceiver Resampler and a rectified flow transformer.
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LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid Reconstruction
A framework that structurally enforces divergence-free velocity and long-range transport coherence in 3D fluid reconstruction from 2D videos via divergence-free kernels advecting Lagrangian Gaussian splats.
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A Few-Step Generative Model on Cumulative Flow Maps
Cumulative flow maps unify few-step generative modeling for diffusion and flow models via cumulative transport and parameterization with minimal changes to time embeddings and objectives.
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CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization
CADFit recovers complex editable CAD construction sequences from meshes via IoU-driven hybrid optimization over structured programs, outperforming prior methods on volumetric IoU, Chamfer Distance, and invalid ratio.
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LTM: Large-scale Terrain Model for Wildfire-prone Landscapes
A ray-tracing pipeline aligns ground-level image pixels to outdated DEM rasters for real-time 3D terrain reconstruction in wildfire zones, validated primarily through a custom simulator.