osiriszjq/complex_encoding
Trading Positional Complexity vs Deepness in Coordinate Networks
This project helps machine learning researchers and practitioners working with neural networks to efficiently represent and reconstruct complex images and videos. It takes raw image or video data as input and provides an optimized encoding method that improves how neural networks learn spatial and temporal information, leading to more accurate reconstructions. This is for those developing or applying neural networks for tasks like image generation, video compression, or scene representation.
No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer looking to improve the efficiency and accuracy of neural networks for encoding and reconstructing visual data, especially when dealing with complex positional information.
Not ideal if you are looking for a general-purpose image editing tool or a ready-to-use application for everyday image and video manipulation.
Stars
31
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 02, 2023
Commits (30d)
0
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