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PAMI-Code

Official code for PAMI: Part Anchored Motion for Text to Human-Object Interaction Generation

This is 1 of 258 launches in embodied AI and robotics systems — see how it stacks up on momentum and crowding →

1137 other launches read as similar to this one →

Details

External ID
1396458408
Source
GITHUB
Company
—
Product
PAMI-Code
Website domain
github.io
Launched
Sept. 29, 2026
Cohort
—
Upvotes
15
Upvotes percentile
0.4870051008015545
Tags
—
Fetched at
Oct. 2, 2026, 5:02 p.m.
Updated at
Oct. 2, 2026, 5:02 p.m.

Enrichment

Theme
embodied AI and robotics systems
Vertical
Media & entertainment
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
text-to-human-object interaction generation model
Manually corrected
False

Could you build this?

No This is an academic research publication codebase introducing a novel deep learning model for human-object interaction synthesis from text.

What it would actually take: Requires designing and training a conditional diffusion or autoregressive 3D human pose model anchored to object contact points, utilizing PyTorch, SMPL-X body models, and 3D geometric loss formulations. The hard part is formulating the novel part-anchored spatial-temporal attention mechanisms and training on complex 3D motion capture datasets (like BEHAVE or InterCap) on multi-GPU clusters. Requires specialized PhD-level expertise in 3D computer vision and generative kinematic modeling.

Competitors

Other products that read as similar to this one — 1137 launches clear the similarity bar, closest 8 shown.

Attention rank: #591 of 1138 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 335 days after the earliest competitor.

Other launches for this product

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