University College London

Enhancing Task-Specific Adaptation for Video Foundation Models: Introducing Video Adapter as a Probabilistic Framework for Adapting Text-to-Video Models

AI Shorts
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...

This AI Paper Presents An Efficient Solution For Solving Common Practical Multi-Marginal Optimal Transport Problems

AI Paper Summary
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...

Facebook AI Open-Sources CO3D (Common Objects in 3D) Data Set For 3D Reconstruction in Computer Vision Research

AI Paper Summary
3D object reconstruction is a significant computer vision problem with AR/VR technology applications, such as telepresence and the generation of 3D models for gaming....

NVIDIA And King’s College London Uses Cambridge-1 To build AI Models To Generate Synthetic Brain Images

AI Shorts
NVIDIA and King's College London have revealed new information about one of the first projects to be run on Cambridge-1, the UK's most powerful...

DeepMind and University College London Introduce Alchemy, A Novel Open-Source Benchmark For Meta-Reinforcement learning (RL) Research

AI Paper Summary
Alchemy, a novel open-source benchmark for meta Reinforcement learning (RL) in the recent decade, has garnered much attention in the ML field. The RL...

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