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Photo by ThisisEngineering RAEng on UnsplashDescribing the nature with the help of analytical expressions verified through experiments has been a hallmark of the success of science…
The team of researchers from NYU and Meta aimed to address the challenge of robotic manipulation learning in domestic environments by introducing DobbE, a highly adaptable…
NeRF represents scenes as continuous 3D volumes. Instead of discrete 3D meshes or point clouds, it defines a function that calculates color and density values for…
Finer control over the visual characteristics and notions represented in a produced picture is typically required by artistic users of text-to-image diffusion models, which is presently…
Fine-grained image classification is a computer vision task aiming to classify images into subcategories within a larger category. It involves the intricate identification of specific, often…
Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved…
The class neighborhood of a dataset can be learned using soft nearest neighbor lossIn this article, we discuss how to implement the soft nearest neighbor loss…
Data Science FundamentalsBeginner’s practical guide to discrete optimisation in Python10 min read·14 hours agoData Scientists tackle a wide range of real-life problems using data and various…
Researchers from Google Research and UIUC propose ZipLoRA, which addresses the issue of limited control over personalized creations in text-to-image diffusion models by introducing a new…
The soaring capabilities of language models in real-world applications are often hindered by the intricate challenges associated with their large-scale training using conventional methods like standard…