Extracting Triangular 3D Models, Materials, and Lighting From Images
We learn topology, materials, and environment map lighting jointly from 2D supervision. We directly optimize topology of a triangle mesh, learn materials through volumetric texturing, and leverage differentiable split sum environment lighting. Our output representation is a triangle mesh with spatially varying 2D textures and a high dynamic range environment map, which can be used unmodified in st
CNN-generated images are surprisingly easy to spot... for now
In this work we ask whether it is possible to create a "universal" detector for telling apart real images from these generated by a CNN, regardless of architecture or dataset used. To test this, we collect a dataset consisting of fake images generated by 11 different CNN-based image generator models, chosen to span the space of commonly used architectures today (ProGAN, StyleGAN, BigGAN, CycleGAN,
Code Red: The Business Impact of Code Quality– A Quantitative Study of 39 Proprietary Production Codebases
Code Red: The Business Impact of Code Quality – A Quantitative Study of 39 Proprietary Production Codebases Adam Tornhill CodeScene Malmö, Sweden adam.tornhill@codescene.com Markus Borg RISE Research Institutes of Sweden Lund University Lund, Sweden markus.borg@ri.se ABSTRACT Code quality remains an abstract concept that fails to get traction at the business level. Consequently, software companies
2020’s Top AI & Machine Learning Research Papers
TOPBOTS The Best of Applied Artificial Intelligence, Machine Learning, Automation, Bots, Chatbots Despite the challenges of 2020, the AI research community produced a number of meaningful technical breakthroughs. GPT-3 by OpenAI may be the most famous, but there are definitely many other research papers worth your attention. For example, teams from Google introduced a revolutionary chatbot, Meena,
Papers with Code - The latest in Machine Learning
X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design ericlbuehler/mistral.rs • 11 Feb 2024 Starting with a set of pre-trained LoRA adapters, our gating strategy uses the hidden states to dynamically mix adapted layers, allowing the resulting X-LoRA model to draw upon different capabilities and create
Session-based Recommendations with Recurrent Neural Networks
We apply recurrent neural networks (RNN) on a new domain, namely recommender systems. Real-life recommender systems often face the problem of having to base recommendations only on short session-based data (e.g. a small sportsware website) instead of long user histories (as in the case of Netflix). In this situation the frequently praised matrix factorization approaches are not accurate. This prob
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William A. Anders, the astronaut behind perhaps the single most iconic photo of our planet, has died at the age of 90. On Friday morning, Anders was piloting a small…
[PDF]Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat melvinp,schuster,qvl,krikun,yonghui,zhifengc,nsthorat@google.com Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean Abstract We propose a simple, elegant solution to use a single Neural Ma
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https://arxiv.org/pdf/2209.11055.pdf
NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild
http://arxiv.org/pdf/1804.06655
GPT-3 & Beyond: 10 NLP Research Papers You Should Read
Novel Computer Vision Research Papers From 2020
Linguistic Regularities in Sparse and Explicit Word Representations
文書に対する大衆の興味の強さの推定
https://www.jstage.jst.go.jp/article/pjsai/JSAI08/0/JSAI08_0_269/_pdf
Video Segmentation by Non-Local Consensus Voting
http://arxiv.org/pdf/1610.02415
好奇心の個人差に関する研究について ― 歴史的展望―
好奇心＝興味？（2）― 教育的興味と好奇心の比較―