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How can the Effectiveness of Vision Transformers be Leveraged in Diffusion-based Generative Learning? This Paper from NVIDIA Introduces a Novel Artificial Intelligence Model Called Diffusion Vision Transformers (DiffiT)

How can the effectiveness of vision transformers be leveraged in diffusion-based generative learning? This paper from NVIDIA introduces a novel model called Diffusion Vision Transformers (DiffiT), which combines a hybrid hierarchical architecture with a U-shaped encoder and decoder. This approach has pushed the state of the art in generative models and offers a solution to…

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TiDE: the ‘embarrassingly’ simple MLP that beats Transformers | by Rafael Guedes | Dec, 2023

A deep exploration of TiDE, its implementation using Darts and a real life use case comparison with DeepAR (a Transformer architecture) As industries continue to evolve, the importance of an accurate forecasting becomes a non-negotiable asset wether you work in e-commerce, healthcare, retail or even in agriculture. The importance of being able to foresee what…

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A New AI Research from CMU and Meta Introduces PyNeRF: A Leap in Neural Radiance Fields with Scale-Aware, Grid-Based Rendering

How can Neural Radiance Fields (NeRFs) be improved to handle scale variations and reduce aliasing artifacts in scene reconstruction? A new research paper from CMU and Meta addresses this issue by proposing PyNeRF (Pyramidal Neural Radiance Fields). It improves neural radiation fields (NeRFs) by training model heads at different spatial grid resolutions, which helps…

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DeepMind’s latest research at NeurIPS 2022

Advancing best-in-class large models, compute-optimal RL agents, and more transparent, ethical, and fair AI systems The thirty-sixth International Conference on Neural Information Processing Systems (NeurIPS 2022) is taking place from 28 November - 9 December 2022, as a hybrid event, based in New Orleans, USA. NeurIPS is the world’s largest conference in artificial intelligence (AI)…

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Meet VideoSwap: An Artificial Intelligence Framework that Customizes Video Subject Swapping with Interactive Semantic Point Correspondence

Recently, there have been significant advancements in video editing, with editing using Artificial Intelligence (AI) at its forefront. Numerous novel techniques have emerged, and among them, Diffusion-based video editing stands out as a particularly promising field. It leverages pre-trained text-to-image/video diffusion models for tasks like style change, background swapping, etc. However, The challenging part in…

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