LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs paper page: https://
huggingface.co/papers/2306.05
410
… A critical obstacle preventing NeRF models from being deployed broadly in the wild is their reliance on accurate camera poses. Consequently, there is growing interest in
MACHINE LEARNING
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LU-NeRF: Scene and Pose Estimation Using Local Unposed NeRFs
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AI Invention Example: Novel Artifact Discovery via Genetic Search
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Here's a well known example of an "AI" invention (i.e. a novel artifact / discovery found via a search process, genetic search in this case).
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Deep Learning Models Require Search Processes for Real Novelty
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Mind you, deep learning models are not search processes. They're interpolative — they're big differentiable parametric curves trained with SGD. You need to combine them with a discrete search process (over the right space) to get real novelty.
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AI Search Processes Generate Novel Discoveries Beyond Human Knowledge
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The fact that a search process over a large enough space could come up with novel (to humans) discoveries wouldn't be contested by anyone familiar with AI, I'd think — the proof of concept came from genetic algorithms in the 1970s. AlphaGo move 37 also comes to mind.
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AI-Powered Glasses Enable Real-Time Speech Transcription Technology
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These AI-powered glasses transcribe speech in real time http://
ow.ly/zomQ50OH1mg @wef #success #entrepreneur #startup #innovation #tech #AR #VR #Metaverse #FutureofWork #ArtificialIntelligence #AI #ML @bimedotcom @Shi4Tech @digitalhealthxx @stratorob @TheAdityaPatro -
Grounded Text-to-Image Synthesis with Attention Refocusing
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Grounded Text-to-Image Synthesis with Attention Refocusing
— AK (@_akhaliq) 9 juin 2023
paper page: https://t.co/3DfgBmfB2I
Driven by scalable diffusion models trained on large-scale paired text-image datasets, text-to-image synthesis methods have shown compelling results. However, these models still fail… pic.twitter.com/nQRFzGoSLjGrounded Text-to-Image Synthesis with Attention Refocusing paper page: https://
huggingface.co/papers/2306.05
427
… Driven by scalable diffusion models trained on large-scale paired text-image datasets, text-to-image synthesis methods have shown compelling results. However, these models still fail -
MIMIC-IT: Multi-Modal In-Context Instruction Tuning for Vision-Language Tasks
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MIMIC-IT: Multi-Modal In-Context Instruction Tuning paper page: https://
huggingface.co/papers/2306.05
425
… High-quality instructions and responses are essential for the zero-shot performance of large language models on interactive natural language tasks. For interactive vision-language tasks -
Modular Visual Question Answering Framework Using Code Generation
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Modular Visual Question Answering via Code Generation paper page: https://
huggingface.co/papers/2306.05
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… present a framework that formulates visual question answering as modular code generation. In contrast to prior work on modular approaches to VQA, our approach requires no additional -
MusicGen: Simple and Controllable Music Generation with Language Models
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Simple and Controllable Music Generation paper page: https://
huggingface.co/papers/2306.05
284
… introduce MusicGen, a single Language Model (LM) that operates over several streams of compressed discrete music representation, i.e., tokens. Unlike prior work, MusicGen is comprised of a single-stage -
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Experts
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Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts paper page: https://
huggingface.co/papers/2306.04
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… Weight-sharing supernet has become a vital component for performance estimation in the state-of-the-art (SOTA) neural architecture