
GitHub - city-super/GSDF: [NeurIPS 2024]GSDF: 3DGS Meets SDF …
Representing 3D scenes from multiview images remains a core challenge in computer vision and graphics, requiring both reliable rendering and reconstruction, which often conflicts due to the …
GitHub - zerchen/gSDF: gSDF: Geometry-Driven Signed Distance …
${ROOT}/playground ├── pose_kpt # A component for gSDF which solves pose estimation problem ├── hsdf_osdf_1net # The SDF network with a single backbone like Grasping Field …
GSDF: 3DGS Meets SDF for Improved Neural Rendering and …
Overview of Dual-branch Guidance. Our dual-branch framework includes a GS-branch for rendering and an SDF-branch for learning neural surfaces. This design preserves the …
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GSDF/train.py at main · city-super/GSDF - GitHub
[NeurIPS 2024]GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction - GSDF/train.py at main · city-super/GSDF
GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction
2024年3月25日 · GSDF is introduced, a novel dual-branch architecture that combines the benefits of a flexible and efficient 3D Gaussian Splatting (3DGS) representation with neural Signed …
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Maximum-throughput mapping of SDFGs on multi-core SoC …
2013年10月1日 · Data-Flow models are attracting renewed attention because they lend themselves to efficient mapping on multi-core architectures. The key problem of finding a …
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