Paper · ≈ 1 min read
TripoSR: Fast 3D Object Reconstruction from a Single Image
Outgoing relations
- addresses → Image-to-3D (Task)
- implemented_in → About VAST-AI-Research/TripoSR (Repository)
- part_of → 3D/4D Vision and Reconstruction (ResearchField)
- uses → Volumetric Rendering (MethodologicalConcept)
- uses_metric → LPIPS (Metric)
- uses_metric → PSNR (Metric)
- uses_metric → Precision (Metric)
- uses_metric → SSIM (Metric)
Incoming relations
- mentioned_in → About VAST-AI-Research/TripoSR (Repository)
Connected node types
- Metric: 4
- Repository: 2
- MethodologicalConcept: 1
- ResearchField: 1
- Task: 1
Mentions in the corpus
- part_of Evidence: Evaluations on public datasets show that TripoSR exhibits superior perf…
- part_of Evidence: The architecture preserves LRM's LargeReconstructionModel template — an…
- mentioned_in Claim: The architecture preserves LRM's LargeReconstructionModel template — an image encoder followed…
- part_of Evidence: TripoSR is released under MIT and has become a popular base for downstr…
- mentioned_in Claim: TripoSR is released under MIT and has become a popular base for downstream single-image-to-3D w…
- part_of Evidence: The headline contribution is throughput: TripoSR returns a mesh from a…
- mentioned_in About VAST-AI-Research/TripoSR
- summarizes Project Pulse
- summarizes Field Overview — 3D/4D Vision and Reconstruction
Cross-references in raw data
Source provenance
examples/demo-corpus/data/research/papers/arxiv-2403-02151/abstract.md