Lotus: A diffusion-based visual foundation model for dense geometry prediction.
Predicting dense geometry in computer vision involves estimating properties such as depth and surface normals for each pixel in an ...
Tag: diffusionbased
Eliminating Vector Quantization: Diffusion-Based Autoregressive AI Models for Image Generation
Autoregressive imaging models have traditionally relied on vector-quantized representations, which introduces several important challenges. The vector quantization process requires a ...
This article from LMU Munich explores the integration of quantum machine learning and variational quantum circuits to increase the effectiveness of diffusion-based imaging models
Despite the amazing advances and achievements in the field of technology, classical diffusion models still face challenges in imaging, particularly ...
Google DeepMind Researchers Introduce GenCast: Diffusion-Based Ensemble Forecasting AI Model for Medium-Range Weather
You may have missed a big breakthrough in the ML weather forecasting revolution over the holidays: GenCast – Google DeepMind's ...
This article introduces InsActor: revolutionizing animation with diffusion-based human motion models for intuitive control and high-level instructions.
Physics-based character animation, a field at the intersection of computer graphics and physics, aims to create realistic and responsive character ...
How can the effectiveness of vision transformers be harnessed in diffusion-based generative learning? This NVIDIA article presents a novel artificial intelligence model called Diffusion Vision Transformers (DiffiT)
How can the effectiveness of vision transformers be harnessed in diffusion-based generative learning? This NVIDIA paper presents a novel model ...
Meet Mustango: a diffusion-based, music-domain knowledge-inspired text-to-music system that extends Tango’s text-to-audio model
In the field of text-to-music synthesis, the quality of the generated content has been advancing, but the controllability of the ...
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