We have 3 of 26 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
TopoGS is a topology-aware anchor feature aggregation framework with two lightweight components that establishes bidirectional cross-level gradient pathways by fusing per-level context triplets with a residual MLP and applies soft weighting to accommodate varying topological sparsity.
This work proposes Scene Geometric Invariant Anchoring (SGIA), which extracts dominant geometric invariants from each chunk's predicted point cloud via coarse-to-fine robust estimation and exploits their cross-chunk consistency to establish scale constraints independent of point cloud registration.
This review categorizes the field into five representative paradigms: geometry-based Structure from Motion, learning-based Multi-view Stereo, Neural Radiance Fields, 3D Gaussian Splatting, and recent feed-forward geometric models.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
