The study focuses on generating images from EEG signals using a deep learning framework. The objective is to recreate images that subjects view using EEG recordings. This is achieved using…
Continue readingAvatarMMC presents a new method for generating and editing 3D head avatars. The approach uses a 3D Generative Adversarial Network (GAN) and a Latent Diffusion Model (LDM) for multi-modal conditioning….
Continue readingThe paper introduces ‘Adapt & Align’, a method for continual learning of neural networks using generative models. The method addresses the issue of performance loss in neural networks when retrained…
Continue readingThis paper introduces a novel approach to generating high-quality and diverse 3D articulated digital human assets, crucial for various applications such as virtual reality and social platforms. The authors propose…
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