🥬 Diffusive Sketch-Guided Text-to-Image 🥬

👉#Google unveils a universal approach for T2I (pre-trained) diffusion: free-hand, saliency-guided, etc.

😎Review https://bit.ly/3XFVMj2
😎Project sketch-guided-diffusion.github.io/
😎Paper sketch-guided-diffusion.github.io/files/sketch-guided-preprint.pdf

🐈 SpaText: Spatio-Textual Generation 🐈

👉#META AI unveils a novel T2I using open-vocabulary scene control

😎Review https://bit.ly/3OKcdXz
😎Project omriavrahami.com/spatext/
😎Paper arxiv.org/pdf/2211.14305.pdf
😎Code (coming)

💡Diffusive Generation/Inpainting/Reconstruction💡

👉The first 3D-aware diffusion model purely trained from 2D images only

😎Review https://bit.ly/3XyHyjY
😎Paper arxiv.org/pdf/2211.09869.pdf
😎Code github.com/Anciukevicius/RenderDiffusion

🚗 3DDesigner: Text-guided Diffusion 🚗

👉Novel method to generate #3D fine-grained objects via textual diffusion

😎Review https://bit.ly/3Fbmyc1
😎Project 3ddesigner-diffusion.github.io/
😎Paper arxiv.org/pdf/2211.14108.pdf

🧨Fast-SNARF: 150× faster NeRF🧨

👉Voxel-based, pre-computed skinning, #cuda kernels -> avatar 150x faster!

😎Review https://bit.ly/3OMvEPo
😎Code github.com/xuchen-ethz/fast-snarf
😎Paper dataset.ait.ethz.ch/downloads/fast-snarf/paper.pdf

🔥#AIwithPapers: we are 5,200+!🔥

👉 Me (and you, all), these days (audio ON)🤣

😈 Share -> https://bit.ly/3VBGN7Y
😈 Invite friends -> https://t.me/AI_DeepLearning

🔥🔥 Distilled #StableDiffusion paper! 🔥🔥

👉The progress with #StableDiffusion at #neurips2022 conference. Crazy times!

😎Review https://bit.ly/3ESo5Cn
😎Paper arxiv.org/pdf/2210.03142.pdf

💎 SJC: from 2D -> #3D generation 💎

👉 Novel method to convert pretrained 2D diffusion into 3D generative mode

😎Review https://bit.ly/3UppHJx
😎Paper arxiv.org/pdf/2212.00774.pdf
😎Code github.com/pals-ttic/sjc
😎Project pals.ttic.edu/p/score-jacobian-chaining

🤪 Just another ORDINARY week in #AI community 🤪

😈 Let's talk -> https://bit.ly/3VsEfth
😈 Invite friends -> https://t.me/AI_DeepLearning

🎨 Dr.3D: adapting 3D GANs to Arts 🎨

👉Novel 3D GAN domain adaptation method for drawings. From portraits to 3D!

😎Review https://bit.ly/3He3Phv
😎Paper arxiv.org/pdf/2211.16798.pdf
😎Project jinwonjoon.github.io/dr3d/
😎Code github.com/JinWonjoon/Dr.3D

🫐 Tracking EVERYTHING in the wild 🫐

👉Disentangling classification from tracking, Track Every Thing Accuracy (TETA) for SOTA

😎Review https://bit.ly/3F2rfU7
😎Paper arxiv.org/pdf/2207.12978.pdf
😎Project www.vis.xyz/pub/tet/

👽HD Faces via "Hacked" Smartphone👽

👉A novel method for HD faces from (polarizing-foils) smartphones

😎Review https://bit.ly/3H8yhJN
😎Paper arxiv.org/pdf/2212.01160.pdf
😎Project dazinovic.github.io/polface

💎 Clothes-Changing Re-Identification 💎

👉The new SOTA in wild Re-identification by mixing appearance & face features

😎Review https://bit.ly/3HdTTUU
😎Paper arxiv.org/pdf/2211.13807.pdf
😎Project www.vision.huji.ac.il/reface
😎Code github.com/bar371/ReFace

👘 SOTA: One-Shot Animatable Avatars 👘

👉ELICIT: synthesis & avatar animation -> NeRF representation in one-shot

😎Review https://bit.ly/3P3eZY6
😎Paper arxiv.org/pdf/2212.02469.pdf
😎Project https://elicit3d.github.io/
😎Code github.com/huangyangyi/ELICIT

🐸 RANA: Neural Avatar by #Nvidia 🐸

👉Neural humans under arbitrary viewpoints, body poses & lighting

😎Review https://bit.ly/3iIYOTP
😎Paper arxiv.org/pdf/2212.03237.pdf
😎Project nvlabs.github.io/RANA

🧰UDE: Unified Human Motion Generation🧰

👉The first unified human motion from Text or Audio. Audio ON, New SOTA.

😎Review https://bit.ly/3HjWsVN
😎Paper arxiv.org/pdf/2211.16016.pdf
😎Project zixiangzhou916.github.io/UDE
😎Code github.com/zixiangzhou916/UDE

🔥 #StableDiffusion 2.1 is out! 🔥

👉Stability.ai releases Stable Diffusion v2.1 and DreamStudio-Updates_7-Dec 22.

😎Review https://bit.ly/3Y49898
😎Code github.com/Stability-AI/stablediffusion
😎Blog stability.ai/blog/stablediffusion2-1-release7-dec-2022

🪂 Fast Neural Deferred Shading 🪂

👉Novel fast multi-view 3D reconstruction with arbitrary materials & light

😎Review https://bit.ly/3Brs9bY
😎Project fraunhoferhhi.github.io/neural-deferred-shading
😎Code github.com/fraunhoferhhi/neural-deferred-shading
😎Paper mworchel.github.io/assets/papers/neural_deferred_shading_with_supp.pdf