The Well
Collection
A 15TB collection of physics simulation datasets. • 18 items • Updated
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Manuel DE PALMA
quantumcomputer
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Article
Build awesome datasets for video generation
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Want to supercharge your journalism with AI but don't know where to start? I've got you covered. 🚀
Ran two workshops at Media Party w/ Brown Institute for Media Innovation at Columbia University this week-end, packed with open-source AI tools for journalists. Thought you might find 'em useful too, so I'm open-sourcing my slides 😉
Here's a taste of what's in the beginner's deck (no-code tools focus):
- Scrape websites without coding
- Analyze bias in AI image generators
- Transcribe audio/video on your device
- Edit images with words
- Extract info from docs, websites, PDFs
- Analyze images, handwriting, videos
- Create custom AI assistants
Tons more in the deck.
👉 Full presentation link: https://docs.google.com/presentation/d/1Q887BhrcrDDgfi0O-Mbx2GI1De2H3GkIiXmd9MvmxYE/edit?usp=sharing
#AIinJournalism #MediaInnovation #OpenSourceAI #MediaParty
Ran two workshops at Media Party w/ Brown Institute for Media Innovation at Columbia University this week-end, packed with open-source AI tools for journalists. Thought you might find 'em useful too, so I'm open-sourcing my slides 😉
Here's a taste of what's in the beginner's deck (no-code tools focus):
- Scrape websites without coding
- Analyze bias in AI image generators
- Transcribe audio/video on your device
- Edit images with words
- Extract info from docs, websites, PDFs
- Analyze images, handwriting, videos
- Create custom AI assistants
Tons more in the deck.
👉 Full presentation link: https://docs.google.com/presentation/d/1Q887BhrcrDDgfi0O-Mbx2GI1De2H3GkIiXmd9MvmxYE/edit?usp=sharing
#AIinJournalism #MediaInnovation #OpenSourceAI #MediaParty
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reacted to isidentical's post with ❤️ about 2 years ago
Post
What is the current SOTA in terms of fast personalized image generation? Most of the techniques that produce great results (which is hard to objectively measure, but subject similarity index being close to 80-90%) take either too much time (full on DreamBooth fine-tuning the base model) or or loose on the auxilary properties (high rank LoRAs).
We have been also testing face embeddings, but even with multiple samples the quality is not anywhere close to what we expect. Even on the techniques that work, high quality (studio-level) pictures seem to be a must so another avenue that I'm curious is whether there is filter/segmentation of the input samples in an automatic way that people have looked in the past?
We have been also testing face embeddings, but even with multiple samples the quality is not anywhere close to what we expect. Even on the techniques that work, high quality (studio-level) pictures seem to be a must so another avenue that I'm curious is whether there is filter/segmentation of the input samples in an automatic way that people have looked in the past?
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