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Found 3 papers, 1 papers with code
Dreamix: Video Diffusion Models are General Video Editors
Our approach uses a video diffusion model to combine, at inference time, the low-resolution spatio-temporal information from the original video with new, high resolution information that it synthesized to align with the guiding text prompt.
Fast Inference from Transformers via Speculative Decoding
Inference from large autoregressive models like Transformers is slow - decoding K tokens takes K serial runs of the model.
UniTune: Text-Driven Image Editing by Fine Tuning an Image Generation Model on a Single Image
We present UniTune, a simple and novel method for general text-driven image editing.
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