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Found 6 papers, 6 papers with code
Kandinsky 3.0 Technical Report
We focus on the key components that, as we have identified as a result of a large number of experiments, had the most significant impact on improving the quality of our model compared to the others.
FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline
The first stage concerns keyframes synthesis to figure the storyline of a video, while the second one is devoted to interpolation frames generation to make movements of the scene and objects smooth.
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
Text-to-image generation is a significant domain in modern computer vision and has achieved substantial improvements through the evolution of generative architectures.
Ranked #22 on
Text-to-Image Generation
on MS COCO
Star-Shaped Denoising Diffusion Probabilistic Models
In the case of Gaussian distributions, SS-DDPM is equivalent to DDPM.
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
The size and complexity of deep neural networks continue to grow exponentially, significantly increasing energy consumption for training and inference by these models.
Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask Architecture
Supporting the current trend in the AI community, we present the AI Journey 2021 Challenge called Fusion Brain, the first competition which is targeted to make the universal architecture which could process different modalities (in this case, images, texts, and code) and solve multiple tasks for vision and language.
