Large text-to-video models trained on internet-scale data have shown extraordinary capabilities to generate high-fidelity films from arbitrarily written descriptions. However, fine-tuning a pretrained huge model might be prohibitively expensive, making it difficult to adapt these models...
Researchers have proposed a novel approach to enforcing distributional constraints in machine learning models using multi-marginal optimal transport. This approach is designed to be computationally efficient and allows for efficient computation of gradients during backpropagation.
Existing methods...
In the last few years, deep learning has been playing an integral role in various scientific and technology areas. This development promotes AI-based tools...
Visual tracking involves estimating the trajectory of an object in a video series, which is one of the fundamental challenges in computer vision. With...
While 3D human pose and mesh reconstruction from a single image is a trending area of research because of its applications for human-computer interactions,...
Despite the progress of artificial neural networks in recent years, researchers are still unable to train these systems to extrapolate compositional rules seen during...
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