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Orbia

🔥 Orbia: Do Generated Videos Form a Consistent 3D World?

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This is 1 of 52 launches in video analytics and processing tools — see how it stacks up on momentum and crowding →

791 other launches read as similar to this one →

Details

External ID
1410385445
Source
GITHUB
Company
—
Product
Orbia
Website domain
github.io
Launched
Oct. 8, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.14
Tags
3d, 3d-world-model, 4d, aigc, aigc-3d, benchmark, generation, generative-ai, generative-model, video-generation, world-model, world-modeling

Enrichment

Niche
video analytics and processing tools
Vertical
Media & entertainment
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
benchmark for 3d consistency in generated videos
Manually corrected
False

Could you build this?

No Orbia is a cutting-edge research benchmark evaluating 3D geometric consistency in generative video models, requiring advanced computer vision expertise and expensive model evaluations.

What it would actually take: To build this, one needs expertise in structure-from-motion (SfM), neural radiance fields (NeRF/3DGS), and geometric multi-view evaluation metrics applied to video frames. The implementation requires PyTorch, COLMAP, camera pose estimation pipelines, and access to large GPU clusters to run evaluations across generative video foundations.

Competitors

Other products that read as similar to this one — 791 launches clear the similarity bar, closest 8 shown.

Attention rank: #691 of 792 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 341 days after the earliest competitor.

Other launches for this product