💜 #Selfdriving in 80's. Damn Romantic 💜

👉The first self-driving car with people on board, 1986. So slow and lovely.

More: https://bit.ly/3BtRDon

🏵️ TORAS: SOTA #AI for annotation 🏵️

👉TORAS: web-based AI-powered, cooperative, annotation platform.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅SOTA AI tools -> significant speedup
✅"Recipes" to define how to annotate
✅Repo with folder structure for storage
✅Also on-prem for (commercial) firms

More: https://bit.ly/3L78YI2

💮MAXIM: Multi-Axis MLP for Vision💮

👉#Google opens MAXIM, a multi-axis MLP for low-level vision

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Denoising, deblurring, dehazing, etc
✅Multi-axis gated MLP, linear complexity
✅Cross gating block, separate features
✅SOTA results on several datasets!

More: https://bit.ly/3Dmp8LI

🔥 A Survey on Diffusion Models 🔥

👉A comprehensive review of denoising diffusion models in #computervision 🤯

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Overview on diffusion models
✅Hot trend for the generative AI
✅A multi-perspective categorization
✅Current limitations / new directions

More: https://bit.ly/3RYG5zP

🔥🔥 UPDATE 🔥🔥

Code Released: https://github.com/sczhou/CodeFormer

🉐#AI finds where IG photos are taken🉐

👉Brilliant work of Depoorter, Belgium artist that handles #privacy, #AI & #socialmedia

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Recorded open cameras for weeks
✅Scraped all #Instagram photos
✅Matching Instagram vs. footage

More: https://bit.ly/3eL5dfc

🈯SAMURAI: in-the-wild Shape/Material🈯

👉#Google SAMURAI: shape, BRDF, per-image pose & illumination. Relightable #3D assets for #AR/#VR.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Parametrization for varying distances
✅Camera multiplex optimization
✅Posterior scaling of input images
✅Explicit meshes extraction with BRDF
✅Code/data soon available ->#NeurIPS

More: https://bit.ly/3BKWgf3

🟨 Lang<->Pics in 100+ Languages 🟨

👉#Google PaLI: unified lang-image #AI to perform tasks in 109 languages 🤯

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅PaLI: Pathways Lang & Image model
✅Answering, captioning, reasoning, etc
✅From Eng. to 109 lang. understanding
✅The new SOTA on several datasets

More: https://bit.ly/3QMslHC

🍐PeRFception: Largest IR Dataset🍐

👉#Nvidia, a new frontier in data collection via Plenoxels: same info, -96.4% in size.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅POSTECH + NVIDIA + Caltech = 🤯
✅Size: -96.4% from original dataset!
✅2D/3D image/object class/semantic
✅Ready-to-use pipeline for implicit dataset

More: https://bit.ly/3eW9hJA

🐸 CHARL-E: Stable Diffusion in 1 click 🐸

👉CHARL-E packages Stable Diffusion into a simple app.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅No setup, dependencies, or internet
✅Images with 1-click on #macbook
✅Suitable only for M1/M2 processor
✅Source code under MIT license

More: https://bit.ly/3xv2z3G

🍋YOLOPv2: Better Driving Perception🍋

👉YOLOPv2: simultaneous object, road segmentation & lane detection

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅E2E perception net with better backbone
✅Efficient ELAN for reasonable memory
✅Stability for adapting to scenarios
✅SOTA on BDD100K, +50% faster!
✅Source code under MIT license

More: https://bit.ly/3LvYGBh

🍈SegNeXt: new SOTA in Semantic Seg.🍈

👉SOTA (by large margin) on ADE20K, Cityscapes, COCO-Stuff, Pascal VOC, Pascal Context, and iSAID 🤯

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Novel tailored network architecture
✅Spatial attention via multi-scale feats
✅Encoder + conv. better than transformers
✅SOTA on several datasets (ADE20K, etc.)

More: https://bit.ly/3UrZhrH

🦪StereoVoxelNet: RT Obstacles Detection🦪

👉Novel deep neural approach to detect occupancy from stereo images directly

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Occupancy voxels via deep learning
✅RT on Jetson-TX2 (-98% CPU of SOTA)
✅Optimization via octrees / sparse conv.
✅Real-world stereo in/outdoor dataset

More: https://bit.ly/3BylAn3

🚜 NeRF-Factory: a NeRF collection 🚜

👉PyTorch-reimplemented NeRF library with 7 popular models/implementations & 7 datasets

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅NeRF: Project | Paper | Code
✅NeRF++: Paper | Code
✅DVGO: Project | Paper v1/v2 | Code
✅Plenoxels: Project | Paper | Code
✅Mip-NeRF: Project | Paper | Code
✅Mip-NeRF360: Project | Paper | Code
✅Ref-NeRF: Project | Paper | Code

More: https://bit.ly/3qUgmgC

🥶 Lumos by #Nvidia: Relighting Portrait 🥶

👉The new SOTA in relighting without requiring a light stage

😎Review https://bit.ly/3dCH9ej
😎Project deepimagination.cc/Lumos
😎Paper arxiv.org/pdf/2209.10510.pdf
😎Demo https://imaginaire.cc/Lumos/

🍜 SURF-GAN: NeRF - >StyleGAN 🍜

👉 Editable portraits by injecting the NeRF's prior into StyleGAN

😎Review https://bit.ly/3SohEw3
😎Project jgkwak95.github.io/surfgan
😎Paper arxiv.org/pdf/2207.10257.pdf
😎Code github.com/jgkwak95/SURF-GAN

🔥#Google just announced "TensorStore"🔥

👉Novel open-source C++ / #Python library for storage/manipulation of high-dim data

😎Review https://bit.ly/3DLwbha
😎Project https://bit.ly/3C4T2TR
😎Code github.com/google/tensorstore

🦠 Motion Transformer for #selfdriving 🦠

👉The 1st place solution for 2022 #waymo "motion prediction" challenge

😎Review https://bit.ly/3f8G4LD
😎Paper arxiv.org/pdf/2209.10033.pdf
😎Code github.com/sshaoshuai/MTR

💹 Image Synthesis @160+ FPS! 💹

👉Super-fast, 3D-Aware Image Synthesis with Sparse Voxels -> up to 167 FPS!

😎Review https://bit.ly/3r3ZNij
😎Paper arxiv.org/pdf/2206.07695.pdf
😎Project katjaschwarz.github.io/voxgraf

👛 #Nvidia GET3D: #3D generative #AI 👛

👉AI-based Textured 3D meshes with complex topology, rich geometry & hi-fi textures

😎Review https://bit.ly/3SgnT5h
😎Code github.com/nv-tlabs/GET3D
😎Project nv-tlabs.github.io/GET3D/
😎Paper nv-tlabs.github.io/GET3D/assets/paper.pdf