AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates about #DeepLearning, #MachineLearning, LLMs and #ComputerVision

Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/

#artificialintelligence #machinelearning #ml #AI
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๐Ÿ”ฅDRAMA of the week: ARTIST vs.#AI ART๐Ÿ”ฅ

๐Ÿ‘‰Generative AI is changing forever (again) how we create images, video and music. Progress brings conflict.

Let's talk: https://bit.ly/3BHOUIN
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๐Ÿ–ผ๏ธ PV3D: Generative Portrait Video ๐Ÿ–ผ๏ธ

๐Ÿ‘‰ PV3D: first generative #AI for multi-view consistent portrait videos

๐Ÿ˜ŽReview https://bit.ly/3W5l5dn
๐Ÿ˜ŽProject showlab.github.io/pv3d/
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.06384.pdf
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๐ŸœInsane Neural Asset by #META ๐Ÿœ

๐Ÿ‘‰DiffRF: novel 3D radiance field synthesis based on denoising diffusion

๐Ÿ˜ŽReview https://bit.ly/3V5Daqo
๐Ÿ˜ŽProject sirwyver.github.io/DiffRF/
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.01206.pdf
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๐ŸŽธ RIFFUSION: #AI that sounds! ๐ŸŽธ

๐Ÿ‘‰RIFFUSION: real-time music generation via spectrograms created with #stablediffusion

๐Ÿ˜ŽReview https://bit.ly/3GcOtcd
๐Ÿ˜ŽProject www.riffusion.com/about
๐Ÿ˜ŽApp https://www.riffusion.com/
๐Ÿ˜ŽCode github.com/riffusion/riffusion-inference
๐Ÿ˜ŽModel huggingface.co/riffusion/riffusion-model-v1
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๐Ÿชด Rodin: 3D Avatars Using Diffusion ๐Ÿชด

๐Ÿ‘‰#Microsoft unveils a novel #3D diffusion for digital avatars as NeRF

๐Ÿ˜ŽReview https://bit.ly/3jcxeOX
๐Ÿ˜ŽProject 3d-avatar-diffusion.microsoft.com
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.06135.pdf
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๐Ÿฅป Neural Cloth Simulation ๐Ÿฅป

๐Ÿ‘‰The most advanced #AI for unsupervised garment animation

๐Ÿ˜ŽReview https://bit.ly/3WadOZR
๐Ÿ˜ŽProject
hbertiche.github.io/NeuralClothSim/
๐Ÿ˜ŽPaper
dl.acm.org/doi/pdf/10.1145/3550454.3555491
๐Ÿ˜ŽCode
https://github.com/hbertiche/NeuralClothSim
๐Ÿคฏ9๐Ÿ‘4โค2
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๐Ÿ”ฅ #AIwithPapers: we are ~5,5k ๐Ÿ”ฅ

๐Ÿ‘‰ I see you: everyone hot for #CHATGPT. But Computer Vision still loves you. We miss you all, don't break up with us ๐Ÿงก

๐Ÿ˜ˆ Forward this post!
๐Ÿ˜ˆ Let's talk -> https://bit.ly/3v389IT
๐Ÿ˜ˆ Invite -> https://t.iss.one/AI_DeepLearning
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๐Ÿคฏ PointยทE: the "DALLยทE" of 3D pts cloud ๐Ÿคฏ

๐Ÿ‘‰OpenAI opens PointยทE: the "evolution" of DALLยทE in the #3D point cloud domain

๐Ÿ˜ŽReview https://bit.ly/3I87PR9
๐Ÿ˜ŽCode github.com/openai/point-e
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.08751.pdf
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๐Ÿฅ‘InstantAvatar: Avatar in 1 min.๐Ÿฅ‘

๐Ÿ‘‰Avatars from monocular video in ONE minute (130x faster than SOTA)

๐Ÿ˜ŽReview https://bit.ly/3PNw1tJ
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.10550.pdf
๐Ÿ˜ŽProject tijiang13.github.io/InstantAvatar
๐Ÿคฏ4โค3โšก1๐Ÿ‘1
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๐Ÿฌ DeepLSD: Neural Lines Detector ๐Ÿฌ

๐Ÿ‘‰ DeepLSD: novel neural line detector in the wild. Paper, Code, and Models available

๐Ÿ˜ŽReview https://bit.ly/3WqONK2
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.07766.pdf
๐Ÿ˜ŽCode github.com/cvg/deeplsd
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โ„๏ธ ClimateNeRF: Extreme Climate NeRF โ„๏ธ

๐Ÿ‘‰NeRF-based realistic climate change simulations for disaster forecasting

๐Ÿ˜ŽReview https://bit.ly/3vhqdz6
๐Ÿ˜ŽPaper arxiv.org/pdf/2211.13226.pdf
๐Ÿ˜ŽProject https://climatenerf.github.io
๐Ÿคฏ11๐Ÿ‘2๐Ÿ˜ฑ1
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โ˜ƒ๏ธ Neural Smooth Video Composition โ˜ƒ๏ธ

๐Ÿ‘‰The novel SOTA in neural video composition. From a few frames to infinite!

๐Ÿ˜ŽReview https://bit.ly/3hRyaIe
๐Ÿ˜ŽCode github.com/genforce/StyleSV
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.07413.pdf
๐Ÿ˜ŽProject genforce.github.io/StyleSV/
๐Ÿ”ฅ6โค2๐Ÿ‘1๐Ÿคฏ1
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๐ŸŽ† One-Shot Video Generation ๐ŸŽ†

๐Ÿ‘‰Tune-A-Video: One-Shot Video Generation with no training pain!

๐Ÿ˜ŽReview https://bit.ly/3hX47il
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.11565.pdf
๐Ÿ˜ŽProject https://tuneavideo.github.io/
๐Ÿ˜ŽCode github.com/showlab/Tune-A-Video
๐Ÿ”ฅ6๐Ÿ‘3โค1๐Ÿ˜ฑ1
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๐Ÿฏ Interpretable Shape Programs ๐Ÿฏ

๐Ÿ‘‰GeoCode: #3D shape synthesis via intuitively editable parameters

๐Ÿ˜ŽReview https://bit.ly/3PYgc3o
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.11715.pdf
๐Ÿ˜ŽCode github.com/threedle/GeoCode
๐Ÿ˜ŽProject threedle.github.io/GeoCode
๐Ÿ”ฅ5๐Ÿ‘4โšก1๐Ÿคฏ1
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๐ŸŽ‡ Real-Time NeRF+SLAM ๐ŸŽ‡

๐Ÿ‘‰Novel geometric/photometric 3D mapping pipeline powered by NeRF+SLAM

๐Ÿ˜ŽReview https://bit.ly/3G6xEOO
๐Ÿ˜ŽPaper arxiv.org/pdf/2210.13641.pdf
๐Ÿ˜ŽCode github.com/ToniRV/NeRF-SLAM
๐Ÿคฏ17๐Ÿฅฐ3๐Ÿ‘2๐Ÿ”ฅ1
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๐Ÿ’กMetaPortrait: ID-preserving talking head๐Ÿ’ก

๐Ÿ‘‰USTC unveils a novel ID-preserving talking head generation framework

๐Ÿ˜ŽReview https://bit.ly/3jyVWsW
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.08062.pdf
๐Ÿ˜ŽProject https://meta-portrait.github.io
๐Ÿ˜ŽCode github.com/Meta-Portrait/MetaPortrait
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โš›๏ธ Event-based vehicle tracking โš›๏ธ

๐Ÿ‘‰Novel event-based vehicle detection/tracking framework. Dataset included!

๐Ÿ˜ŽReview https://bit.ly/3vzxWJ7
๐Ÿ˜ŽPaper
arxiv.org/ftp/arxiv/papers/2212/2212.14289.pdf
๐Ÿ˜ŽDataset
sar-lab.net/event-based-vehicle-detection-and-tracking-dataset
๐Ÿคฏ7๐Ÿ‘1๐Ÿ”ฅ1
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โš ๏ธ ALERT: #PyTorch COMPROMISED โš ๏ธ

[EDIT: THE ALERT IS NOT CONFIRMED, IT COULD BE JUST A BUG]

๐Ÿ‘‰PyTorch-nightly packages installed via pip compromised with malicious binary ๐Ÿฆ 

๐Ÿ˜ŽMore https://bit.ly/3WEm5p1
๐Ÿ˜ฑ19๐Ÿ‘6๐Ÿ”ฅ1
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๐Ÿ MUSE: T2I Generative Transformers ๐Ÿ

๐Ÿ‘‰Google unveils the new SOTA (faster and better) for text-to-image generation

๐Ÿ˜ŽReview https://bit.ly/3CeEu3B
๐Ÿ˜ŽPaper arxiv.org/pdf/2301.00704.pdf
๐Ÿ˜ŽProject muse-model.github.io
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