We all saw the importance of good-quality video conferencing tools during COVID lockdowns. Education, entertainment, work meetings, and family visits became video conferences, and...
By prompting a text-to-image model we can generate images of a wide variety of objects. With clever prompting, it’s also possible to synthesize different...
In this article, UC Berkeley and Meta researchers demonstrate how an adaptive controller can be trained to rotate various objects over the z-axis using...
The goal of the content-based model search is introduced, which tries to locate the most relevant deep image generative models that fulfill a user's...
Neural Radiance Fields (NeRFs) is a revolutionary approach for 3D representation that uses a multi-layer perceptron to describe the geometry and view-dependent appearance of...
The necessity for accurate and economical gigapixel image analysis has risen as whole-slide imaging has become more widely used. Deep learning is at the...
Machine learning (ML) research on 3D scene interpretation has been ongoing for over a decade. For the developer and computer vision communities, a new...
Many studies are increasingly focusing on frame interpolation, which synthesizes intermediate pictures between a pair of input frames. The refresh rate can be increased,...
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