🍈DeepBillboards: old-school trick for #VR🍈

👉DeepBillboards models a 3D object implicitly using neural net on the user’s viewing direction

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅#Google Brain +Tsukuba + Tokyo
✅Rendering at higher res., improving #VR
✅NeRF into interactive VR with accuracy++
✅NeRF (or any others) directly in #Unity

More: https://bit.ly/3CsTQ5y

🌐RelPose: Probabilistic Relative Pose🌐

👉A novel method for core component in #SLAM / NeRF-powered apps.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Core component of SfM/SLAM
✅Pre-processing for neural (NeRF)
✅Energy-based over rotations
✅SOTA on both seen/unseen objects

More: https://bit.ly/3T60TXw

🍈 #StableDiffusion archive is out🍈

👉Lexica art is a Stable Diffusion prompt search engine. Real-time, countless #stablediffusion results for everyone. I had fun with the GOAT, #Maradona.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Maradona scoring against a capybara...
✅A poster of space jam with Maradona...
✅Painting of Maradona very detailed...
✅Painting of Maradona in heaven...

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

🦉PANDORA: Polarized Neural Decomposition🦉

👉CIL lab unveils PANDORA: polarimetric inverse rendering approach via INR

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Geometry, reflectance & illumination
✅normal, signed distance field, mesh
✅Diffuse-specular separation
✅Hi-fI incident illumination

More https://bit.ly/3CzGp3F

🔥IDOL (#CVPR2022 winner): code is out!🔥

👉IDOL for VIS: outperforming all online/offline methods, the new SOTA!

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Online usually inferior by >10AP
✅Online based on contrast-learning
✅Discriminative++ instance embeddings
✅Full exploiting history for stability

More https://bit.ly/3dXCDXw

🔥 #AIwithPapers: we are 4,000+! 🔥

💙💛Lot of people joined, and we talked about #StableDiffusion only twice! Can't believe it.💙💛

😈 Invite your friends -> https://t.me/AI_DeepLearning

🔵 Deep Saliency: driving the attention 🔵

👉Google unveils a family of operators to "drive" human saliency

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Editing image to drive Saliency
✅Transforms to hide distractors
✅Warping operator for distractor
✅GAN-op for less-saliency altern.

More: https://bit.ly/3KoQQc2

🎍#3D scene manipulation from 2D🎍

👉Reconstruct, decompose, manipulate & render 3D scenes in a single pipeline

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Unique 3D, non-occupied space from 2D
✅Inverse query algorithm for shapes
✅First synthetic dataset for 3D editing

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

🍊StableFace: Talking Face Generation🍊

👉Analysis on motion jittering in 3D face generation (audio-in -> video-out)

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Motion jittering analysis for stability
✅Gaussian-based adaptive smoothing
✅Augmented erosions of neural renderer
✅Audio-fused generator for dependency

More: https://bit.ly/3Kt95gI

🧡 Avatarization in 90's. So Romantic 🧡

👉Making of the first #MortalKombat in early 90's

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

🚗 Massive Dataset in Virtual Cities 🚗

👉Synthehicle: 7 hours of labeled material, 340 cams, 64 days, rain, dawn, & night scenes.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Multi-target multi-cam tracking
✅2D, 3D, segm. & depth annotations
✅Instance, semantic & panoptic segm.
✅340 clips, 64 scenes, 17 hrs, 4M BBs

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

🪨Controllable #3D Adversarial Face🪨

👉#Meta (+CMU) on decoupling identity/expression + granular control over expressions

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Supervised auto-enc. + GAN
✅UV texture maps + 3D faces
✅Control expression, saving ID
✅Code under X11 License

More: https://bit.ly/3AVE80q

🥑 DALL·E: Outpainting via #NLP 🥑

👉Extending any original image, creating large-scale images in any aspect ratio

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Extending an image beyond its borders
✅Visual elements in same style of the input
✅Driving the image "story" in new directions
✅Shadows, reflections & textures w/ context

More: https://bit.ly/3eoH8uD

🌪️ TimeLapse++: Video Temporal Pyramid🌪️

👉Multi-scale lens to view the passage of time: far beyond a "classic" timelapse

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Inspired by "old-school" spatial pyramids
✅Video Spectrogram to go through pyramid
✅Months/years of data in a few seconds!
✅Multi-temporal freq., no aliasing

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

🫐 Stable Diffusion Video is out! 🫐

👉A free notebook to generate videos by interpolating the latent space of SD.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Blueberry to strawberry spaghetti
✅Dream items from same prompt
✅Morph different prompts (seeds)
✅Built on a script by A. Karpathy

More: https://bit.ly/3ey8632

🦎 VMT: Video Mask Transfiner 🦎

👉Novel highly efficient ViT structure for video instance segmentation.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅HD & more temporally stable mask
✅Higher resolution features for VIS
✅Detecting error-prone s-t. regions
✅Auto-refinement on training data!

More: https://bit.ly/3RKXtb4

🤯 #StableDiffusion + #Dallemini = BOOM! 🤯

👉A #colab notebook that combines Stable Diffusion + DALL-E Mini (Craiyon)

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

🐠VIS - Deformable Transformers 🐠

👉DeVIS: VIS method with efficiency and performance of deformable ViT

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Temp. multi-scale D-Attention
✅Instance-aware object queries
✅Mask: DA + multi-scale feats map
✅Improved multi-cue clip tracking
✅SOTA on YouTube-VIS 2021/OVIS

More: https://bit.ly/3TQv1Xc

🌈 X-NeRF: Cross-Spectral NeRF 🌈

👉Cross-Spectral NeRF from cams with different light spectrums

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅First ever cross-spectral NeRF
✅Avoiding non-trivial calib/match
✅Normalized Cross-Device Coords
✅Novel dataset w/ RGB, MS, & IR

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