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’น Image Synthesis @160+ FPS! ๐Ÿ’น

๐Ÿ‘‰Super-fast, 3D-Aware Image Synthesis with Sparse Voxels -> up to 167 FPS!

๐Ÿ˜ŽReview https://bit.ly/3r3ZNij
๐Ÿ˜ŽPaper arxiv.org/pdf/2206.07695.pdf
๐Ÿ˜ŽProject katjaschwarz.github.io/voxgraf
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๐Ÿ‘› #Nvidia GET3D: #3D generative #AI ๐Ÿ‘›

๐Ÿ‘‰AI-based Textured 3D meshes with complex topology, rich geometry & hi-fi textures

๐Ÿ˜ŽReview https://bit.ly/3SgnT5h
๐Ÿ˜ŽCode github.com/nv-tlabs/GET3D
๐Ÿ˜ŽProject nv-tlabs.github.io/GET3D/
๐Ÿ˜ŽPaper nv-tlabs.github.io/GET3D/assets/paper.pdf
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๐Ÿ”ฅ๐Ÿ”ฅ IDE-3D: source code is out! ๐Ÿ”ฅ๐Ÿ”ฅ

๐Ÿ‘‰Novel, photorealistic, 3D-aware facial generator: source code just released!

๐Ÿ˜ŽReview https://bit.ly/3BNrO2C
๐Ÿ˜ŽProject mrtornado24.github.io/IDE-3D/
๐Ÿ˜ŽCode github.com/MrTornado24/IDE-3D
๐Ÿ˜ŽPaper arxiv.org/pdf/2205.15517.pdf
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๐Ÿ”ฅDiffusion Model of Neural Checkpoints๐Ÿ”ฅ

๐Ÿ‘‰Conditional diffusion model on Millions of checkpoints of a given task/architecture ๐Ÿคฏ

๐Ÿ˜ŽReview https://bit.ly/3SBR4Qb
๐Ÿ˜ŽProject www.wpeebles.com/Gpt
๐Ÿ˜ŽCode github.com/wpeebles/G.pt
๐Ÿ˜ŽPaper arxiv.org/pdf/2209.12892.pdf
๐Ÿคฏ5โค1
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๐Ÿ”ฅ Semantic VISOR dataset is out! ๐Ÿ”ฅ

๐Ÿ‘‰Segmenting hands / active objects in egocentric video (millions masks)

๐Ÿ˜ŽReview https://bit.ly/3LOBLBv
๐Ÿ˜ŽProject epic-kitchens.github.io/VISOR/
๐Ÿ˜ŽPaper arxiv.org/pdf/2209.13064.pdf
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๐Ÿฅ‡๐Ÿฅ‡ Olympic Games in 2028? ๐Ÿฅ‡๐Ÿฅ‡

๐Ÿ‘‰ In a few years, the fastest runner on earth will not be a human ๐Ÿฅถ

๐Ÿ˜ŽReview https://bit.ly/3Rme3O3
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๐Ÿ”ฅ SOTA ALERT: new Text-to-Video #AI ๐Ÿ”ฅ

๐Ÿ‘‰#META unveils a novel Text-to-Video (T2V) generation #AI

๐Ÿ˜ŽReview https://bit.ly/3E1ZDzG
๐Ÿ˜ŽProject https://makeavideo.studio/
๐Ÿ˜ŽPaper makeavideo.studio/Make-A-Video.pdf
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๐Ÿ”ฅDreamFusion: Text-to-3D via Diffusion๐Ÿ”ฅ

๐Ÿ‘‰DeepDream-like procedure to create #3D assets just from a given text

๐Ÿ˜ŽReview https://bit.ly/3BYY5nu
๐Ÿ˜ŽPaper arxiv.org/pdf/2209.14988.pdf
๐Ÿ˜ŽProject dreamfusion3d.github.io/gallery.html
๐Ÿคฏ12๐Ÿ‘5๐Ÿ’ฉ1
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๐Ÿงช Light Field Neural Rendering ๐Ÿงช

๐Ÿ‘‰Two-stage transformer capable of non-Lambertian effects (reflection, refraction, translucency)

๐Ÿ˜ŽReview https://bit.ly/3CpIFdm
๐Ÿ˜ŽPaper arxiv.org/pdf/2112.09687.pdf
๐Ÿ˜ŽProject light-field-neural-rendering.github.io
๐Ÿ˜ŽCode github.com/google-research/google-research/tree/master/light_field_neural_rendering
๐Ÿคฏ14๐Ÿ‘1
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๐ŸฆฉPhenaki: Text-to(LOOONG)Video generation๐Ÿฆฉ

๐Ÿ‘‰Phenaki is an #AI capable of realistic long video synthesis, given a sequence of textual open prompts

๐Ÿ˜ŽReview https://bit.ly/3RwUvXx
๐Ÿ˜ŽProject phenaki.video/index.h
๐Ÿ˜ŽPaper openreview.net/pdf?id=vOEXS39nOF
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๐Ÿ”ฅ VToonify: Neural Portrait Style Transfer ๐Ÿ”ฅ

๐Ÿ‘‰VToonify for portrait style transfer. Powered by DualStyleGAN backbone, now with #stablediffusion!

๐Ÿ˜ŽReview https://bit.ly/3M9wgNP
๐Ÿ˜ŽDemo https://t.co/8gXzF3IrpB
๐Ÿ˜ŽPaper arxiv.org/pdf/2209.11224.pdf
๐Ÿ˜ŽProject mmlab-ntu.com/project/vtoonify
๐Ÿ˜ŽCode github.com/williamyang1991/VToonify
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๐Ÿข Stable Diffusion for #Pokemon ๐Ÿข

๐Ÿ‘‰Fine-tuning the stable diffusion to create a text-to-pokemon generation model

๐Ÿ˜ŽReview https://bit.ly/3C9qBTw
๐Ÿ˜ŽTutorial https://lambdalabs.com/blog/how-to-fine-tune-stable-diffusion-how-we-made-the-text-to-pokemon-model-at-lambda/
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๐Ÿ”ฅ Imagen Video by #Google. SICK! ๐Ÿ”ฅ

๐Ÿ‘‰Novel text-conditional video generation via cascade of video diffusion models ๐Ÿคฏ

๐Ÿ˜ŽReview https://bit.ly/3SH2TVH
๐Ÿ˜ŽProject imagen.research.google/video/
๐Ÿ˜ŽPaper imagen.research.google/video/paper.pdf
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๐Ÿ”ฅ Human MDM: source code is out! ๐Ÿ”ฅ

๐Ÿ‘‰A classifier-free diffusion-based generative model for human motion domain

๐Ÿ˜ŽReview https://bit.ly/3rFhR2G
๐Ÿ˜ŽProject guytevet.github.io/mdm-page
๐Ÿ˜ŽPaper arxiv.org/pdf/2209.14916.pdf
๐Ÿ˜ŽCode github.com/GuyTevet/motion-diffusion-model
๐Ÿ”ฅ6๐Ÿ‘1
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โš›๏ธSOTA ALERT! Particles Tracking โš›๏ธ

๐Ÿ‘‰The new SOTA in video particles tracking. "Old school" taste, with neural flavor ๐Ÿงก

๐Ÿ˜ŽReview https://bit.ly/3CaU5Ai
๐Ÿ˜ŽProject particle-video-revisited.github.io/
๐Ÿ˜ŽPaper arxiv.org/pdf/2204.04153.pdf
๐Ÿ˜ŽCode github.com/aharley/pips
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๐Ÿ”ฅ #AIwithPapers: we are 4,500+! ๐Ÿ”ฅ

๐Ÿ’™๐Ÿ’› Someone put the smiling ๐Ÿ’ฉ under a few recent posts. But I still love you! ๐Ÿ’™๐Ÿ’›

๐Ÿ˜ˆ Invite your friends -> https://t.iss.one/AI_DeepLearning
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๐Ÿ‹ Long Video via Transformers ๐Ÿ‹

๐Ÿ‘‰TECO is a vector-quantized latent dynamics prediction for long video

๐Ÿ˜ŽReview https://bit.ly/3Ch0tWD
๐Ÿ˜ŽProject wilson1yan.github.io/teco/
๐Ÿ˜ŽPaper arxiv.org/pdf/2210.02396.pdf
๐Ÿ˜ŽCode github.com/wilson1yan/teco
๐Ÿ‘7
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๐Ÿ”ฅSIMPLI: ligh novel-view synthesis๐Ÿ”ฅ

๐Ÿ‘‰Lightweight novel-view synthesis by #Samsung for arbitrary forward-facing scenes

๐Ÿ˜ŽReview https://bit.ly/3CivSYZ
๐Ÿ˜ŽProject samsunglabs.github.io/MLI
๐Ÿ˜ŽCode github.com/SamsungLabs/MLI
๐Ÿ˜ŽPaper samsunglabs.github.io/MLI/paper/paper.pdf
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๐Ÿฅ EVA3D: new SOTA in #3D humans ๐Ÿฅ

๐Ÿ‘‰EVA3D: new SOTA for unconditional NeRF-human generation from 2D only

๐Ÿ˜ŽReview https://bit.ly/3Th9qX7
๐Ÿ˜ŽCode github.com/hongfz16/EVA3D
๐Ÿ˜ŽPaper arxiv.org/pdf/2210.04888.pdf
๐Ÿ˜ŽProject hongfz16.github.io/projects/EVA3D.html
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๐Ÿ f-DM: Diffusion Models by Apple ๐Ÿ

๐Ÿ‘‰Spectacular work by #Apple on DMs: HQ generation with better efficiency and semantic

๐Ÿ˜ŽReview https://bit.ly/3Tils2u
๐Ÿ˜ŽProject https://jiataogu.me/fdm/
๐Ÿ˜ŽPaper arxiv.org/pdf/2210.04955.pdf
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๐Ÿ…GENIE by #Nvidia -> Faster Generation๐Ÿ…

๐Ÿ‘‰Higher-Order Denoising Diffusion Solvers for faster and better synthesis

๐Ÿ˜ŽReview https://bit.ly/3CRjtwr
๐Ÿ˜ŽProject nv-tlabs.github.io/GENIE/
๐Ÿ˜ŽPaper arxiv.org/pdf/2210.05475.pdf
๐Ÿ˜ŽCode github.com/nv-tlabs/GENIE
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