Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing" [CVPR 2025]
[ICCV2025] Official repository of "FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems"
MintNet: Building Invertible Neural Networks with Masked Convolutions
Official implementation of the NeurIPS 25 Paper: "Diffusion Generative Modeling on Lie Group Representations"
Coursework and projects for Deep Generative Models(DGM) course(Graduate), including theoretical homework solutions/problems, final solution/problems and the project of the course
FlowModel is a lightweight and extensible machine learning framework designed for beginners to easily experiment with AI development through a modular plugin architecture.
Novelty detection on mars photos from multispectral curiosity mastcam camera using VAE, FLOW and GAN models
Learning complex 2D distributions and performing image restoration (inpainting) on the MNIST dataset.
Stochastic calculus: SDEs, diffusion, flow matching
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