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Few-Shot-Patch-Based-Training
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
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list-of-algorithms-used-in-generative-AI
Discontinued List of algorithms used in generative deep learning including core ANNs (artificial neural networks) with their algorithms [Moved to: https://github.com/SaifKhayoon/List-of-algorithms-used-in-generative-deep-learning] (by SaifKhayoon)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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CogVideo
Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"
Most videos we see on this sub are done by doing a sequence of images however According to the List of algorithms used in generative AI
Additionally two open source demo models [CogVideo[(https://github.com/THUDM/CogVideo) by a groups of cs students a model by [Antonia Antonova](https://antonia.space/text-to-video-generation) and have presented their own innovative methods of generating video from text
Related posts
- To the people who use SD to apply different styles to videos
- Another CN test! Sorry for the swedish!
- A quick demonstration of how I accomplished this animation.
- [R] Few-Shot Patch-Based Training (Siggraph 2020) - Dr. Ondřej Texler - Link to free zoom lecture by the author in comments
- Enforcing AE (and/or VAE) latent vector parameters to learn specific features?