kpandey008/DiffuseVAE
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
This tool helps researchers and engineers generate high-quality images from a compact representation, overcoming the blurriness often seen in other generative models. It takes a low-dimensional latent code and outputs detailed, realistic images. This is ideal for those working on image creation and manipulation tasks.
381 stars. No commits in the last 6 months.
Use this if you need to generate high-fidelity images with fine-grained control over attributes, starting from a condensed, interpretable representation.
Not ideal if your primary need is for simple, fast image generation without concerns for quality, controllability, or working with latent codes.
Stars
381
Forks
38
Language
Python
License
MIT
Category
Last pushed
Sep 10, 2022
Commits (30d)
0
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