[ROBOVIS 2026] Code for the Adaptive Keyframe Selection for Scalable 3D Scene Reconstruction in Dynamic Environments paper.
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Updated
Jan 13, 2026 - Python
[ROBOVIS 2026] Code for the Adaptive Keyframe Selection for Scalable 3D Scene Reconstruction in Dynamic Environments paper.
pyppur: Python Projection Pursuit Unsupervised (Dimension) Reduction To Min. Reconstruction Loss or DIstance DIstortion
The repository for the article "SSSUMO: Real-Time Semi-Supervised Submovement Decomposition". The repository is a work in progress and is going to be refactored.
In this assignment I have to build a reconstruction loss based anomaly detection model using tf.keras. I have to train an autoencoder to reconstruct Homer Simpson images, then use the trained model to classify Simpson and Flower images.
Implement a Generative Adversarial Network which is able to frontalize faces from the pose invariant features learned in our proposed pose attention guided profile to frontal network for extreme profile faces
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