Paper · ≈ 1 min read
Zero-1-to-3: Zero-shot One Image to 3D Object
Outgoing relations
- addresses → Image-to-3D (Task)
- addresses → Novel View Synthesis (Task)
- implemented_in → About cvlab-columbia/zero123 (Repository)
- introduces → Zero-1-to-3 (Algorithm)
- part_of → 3D/4D Vision and Reconstruction (ResearchField)
- uses → Pre-training (TrainingParadigm)
- uses → Stable Diffusion (Model)
- uses_dataset → Objaverse (Dataset)
- uses_metric → LPIPS (Metric)
- uses_metric → PSNR (Metric)
- uses_metric → SSIM (Metric)
Incoming relations
- mentioned_in → About cvlab-columbia/zero123 (Repository)
Connected node types
- Metric: 3
- Repository: 2
- Task: 2
- Algorithm: 1
- Dataset: 1
- Model: 1
- ResearchField: 1
- TrainingParadigm: 1
Mentions in the corpus
- part_of Evidence: To perform novel view synthesis in this under-constrained setting, we c…
- mentioned_in Claim: To perform novel view synthesis in this under-constrained setting, we capitalize on the geometr…
- part_of Evidence: We introduce Zero-1-to-3, a framework for changing the camera viewpoint…
- part_of Evidence: Qualitative and quantitative experiments show that our method significa…
- part_of Evidence: Zero-1-to-3 connected the text-to-3D line (DreamFusion, Magic3D) to the…
- mentioned_in Claim: Zero-1-to-3 connected the text-to-3D line (DreamFusion, Magic3D) to the single-image-to-3D line…
- mentioned_in About cvlab-columbia/zero123
- 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-2303-11328/abstract.md