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Advanced UNet Network Combines Swin Transformer and CNN for Image Synthesis
The field of image synthesis has experienced remarkable advancements, thanks to exponential growth in computing power and innovative algorithm development.
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Understanding NVIDIA’s DLSS 4: Transformer Models and Real-Time Graphics Performance
NVIDIA’s research on DLSS 4 dives into new methods for boosting real-time graphics using AI. The paper explains how the shift ...
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Beyond transformers: Nvidia’s MambaVision aims to unlock faster, cheaper enterprise computer vision
Transformers aren’t the only way to do gen ... augmented by strategic placement of self-attention blocks in the final layers to capture complex spatial dependencies. Unlike conventional vision ...
VentureBeat1mon
A look under the hood of transfomers, the engine driving AI model evolution
Because of the attention layer, transformers can better capture relationships between words separated by long amounts of text, whereas previous models such as recurrent neural networks (RNN ...