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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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Top 10 Kaggle Machine Learning Projects to Become Data Scientist in 2024

Image by Editor   In the ever-evolving landscape of technology, the role of data scientists and analysts has become crucial for every organization to find data-driven insights for decision-making. Kaggle, a platform that brings together data scientists and machine learning engineers enthusiasts, becomes a central platform for improving data science and machine learning skills.…

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Meet GPS-Gaussian: A New Artificial Intelligence Approach for Synthesizing Novel Views of a Character in a Real-Time Manner

An essential function of multi-view camera systems is novel view synthesis (NVS), which attempts to generate photorealistic images from new perspectives using source photos. The subfields of human NVS have the potential to significantly contribute to real-time efficiency and consistent 3D appearances in areas such as holographic communication, stage performances, and 3D/4D immersive scene capture…

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