AI

AI-generated 3D skeletal animations

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AI-generated 3D skeletal animations

Hi all - I wanted to showcase the current state of AI text-to-motion models, so I put together this small demo app [0]. It uses the MoMask[1] model on the backend (I'm not affiliated with that team, just a fan of their work). They have a visualization on their HF space[2] but I thought it would be better to see the generated animations with an actual model. I'd really like to take this further and create a platform for generating high-quality/professional-grade animations. That requires a clean/curated dataset, which I won't be able to fund on my own. If this is something you're interested in using, it would be very helpful if you could register your interest @ https://tally.so/r/mJzRJo [0] Web support for the front-end renderer is still experimental so please let me know if you experience any issues. In particular, iOS Safari won't work so I've disabled that completely. [1] https://ericguo5513.github.io/momask/ [2] https://huggingface.co/spaces/MeYourHint/MoMask

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, visual · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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