Paper · ≈ 1 min read
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
Outgoing relations
- belongs_to_approach_family → Gaussian Splatting Reconstruction (ApproachFamily)
- introduces → MVSplat (Algorithm)
- part_of → 3D/4D Vision and Reconstruction (ResearchField)
- uses → Gaussian Splatting (MethodologicalConcept)
Connected node types
- Algorithm: 1
- ApproachFamily: 1
- MethodologicalConcept: 1
- ResearchField: 1
Mentions in the corpus
- part_of Evidence: --- type: Paper arxiv: "2403.14627" arxiv_url: https://arxiv.org/abs/24…
- mentioned_in Claim: --- type: Paper arxiv: "2403.14627" arxiv_url: https://arxiv.org/abs/2403.14627 title: "MVSplat…
- part_of Evidence: We introduce MVSplat, an efficient model that, given sparse multi-view…
- part_of Evidence: On the large-scale RealEstate10K and ACID benchmarks, MVSplat achieves…
- part_of Evidence: More impressively, compared to the latest state-of-the-art method pixel…
- summarizes Project Pulse
- synthesizes Topic — Gaussian Splatting Reconstruction
- summarizes Topic — Gaussian Splatting Reconstruction
- synthesizes Comparison — Dynamic Gaussian Splatting vs Gaussian Splatting Reconstruction
- summarizes Comparison — Dynamic Gaussian Splatting vs Gaussian Splatting Reconstruction
- summarizes Field Overview — 3D/4D Vision and Reconstruction
Cross-references in raw data
Source provenance
examples/demo-corpus/data/research/papers/arxiv-2403-14627/abstract.md