GNSS & Machine Learning Engineer
Google presents DreamBooth, a technique to synthesize a subject (defined by 3-5 images) in new contexts defined by text input.
The method is based on Google’s pre-trained text-to-image model Imagen which is not publicly available. However, source code based on Stable Diffusion already exists on GitHub.
Google researchers present Imagic, a method to edit images by text input.
The method is based on Google’s pre-trained image generator Imagen which is not publicly available. However, source code based on Stable Diffusion already exists on GitHub.
A recent publication by University of California, Berkeley [InstructPix2Pix] goes into a similar direction and shows even more impressive results.
DreamFusion: Text-to-3D model using 2D diffusion via Google’s Imagen model.
Since Imagen is not publicly available, Stable Diffusion can be used instead to generate your own 3D models with Stable-Dreamfusion as described here.
NVIDIA has meanwhile presented with Magic3D a high-resolution text-to-3D content generation model with much higher quality. The paper was released on Nov 18, 2022, on arXiv.
Google’s Text-To-Video generation tool Imagen-Video looks even more impressive than Meta’s Make-A-Video.
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