Concept · ≈ 1 min read
Depth Map
Incoming relations
- uses → 2D Gaussian Splatting for Geometrically Accurate Radiance Fields (Paper)
- uses → LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes (Paper)
- uses → Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields (Paper)
Connected node types
- Paper: 3
Mentions in the corpus
- uses Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
- uses Claim: Our model, which we dub "mip-NeRF 360" as we target scenes in which the camera rotates 360 degr…
- uses Claim: The combination reduces mean-squared error by 57% relative to Mip-NeRF on the new 360-degree be…
- uses LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes
- uses Claim: The inpainted images are lifted to 3D space with estimated depth maps, composing a new points.
- uses 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
- uses Claim: Two regularisers strengthen the geometric output further: a depth distortion term encourages th…
- synthesizes Topic — Gaussian Splatting Reconstruction
- synthesizes Field Overview — 3D/4D Vision and Reconstruction
- synthesizes Field Overview — Research Literature
Cross-references in raw data
Source provenance
examples/demo-corpus/data/research/papers/arxiv-2111-12077/abstract.md