MoGe-nuke
This is a simple ofx plug-in for nuke to run Microsoft MoGe model for Depth and normals estimation
Details
- External ID
- 1362072416
- Source
- GITHUB
- Company
- —
- Product
- MoGe-nuke
- Website domain
- github.com
- Launched
- Sept. 9, 2026
- Cohort
- —
- Upvotes
- 15
- Upvotes percentile
- 0.4914168588265437
- Tags
- —
- Fetched at
- Sept. 13, 2026, 5:57 p.m.
- Updated at
- Sept. 13, 2026, 5:57 p.m.
Enrichment
- Theme
- creative coding and visual experiments
- Vertical
- Media & entertainment
- Function
- Dev tools
- Audience
- Prosumer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- nuke plugin for ai depth and normal estimation
- Manually corrected
- False
Could you build this?
Partial Writing an OpenFX plugin bridge and running PyTorch model inference inside Foundry Nuke requires specialized C++ OFX SDK development and GPU memory pipeline integration.
What it would actually take: Building this requires the Foundry Nuke OpenFX (OFX) C++ SDK, combined with an embedded Python runtime or LibTorch/TensorRT C++ runtime to execute Microsoft MoGe. The challenging aspect is managing zero-copy GPU/CPU frame buffer conversions between Nuke's internal image formats (Planar float/half) and tensor inputs while maintaining realtime responsiveness inside VFX workflows without crashing the host application.
Competitors
Other products that read as similar to this one — 574 launches clear the similarity bar, closest 8 shown.
Attention rank: #296 of 575 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 310 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
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