🦉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://xn--r1a.website/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

👹TT-GNeRF: generative NeRF for Faces👹

👉TT-GNeRF: a novel 3D-aware GANs based on generative NeRF for faces

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅ETH + Uni_Trento + #Snap 🤯
✅DAEM for disentanglement of 3D model
✅"Training-as-Init, Optimizing-for-Tuning"
✅Consistency++, preserving non-target ROI
✅Unsupervised optimization of geometry

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

🎪 SOTA in Arbitrary Shape Text Detection 🎪

👉Novel unified coarse-to-fine Transformer for arbitrary shape text detection

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Coarse-to-fine arbitrary text detection
✅Accurate text detection, NO post-process
✅Boundary proposal generation mechanism
✅Innovative boundary transformer (iterative)
✅Boundary energy loss (BEL) for refinement

More: https://bit.ly/3D6Ryt4

🐲 Open-Source Self-Driving projects 🐲

👉A free repo with many autonomous vehicle-related projects

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Basic/Advance Lane/Line Detection
✅Driving behavior by training & validating
✅Autopilot: predicting steering angle

More: https://bit.ly/3qqJ7RB

🥤K-VIL: Keypoint-based visual imitation🥤

👉K-VIL: auto-incremental extraction of object-centric task representation.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Efficient task-relevant keypoints
✅Embodiment-independent tasks
✅Adaptation of tasks to new scenes
✅Input: only a small set of demo clips
✅Novel keypoint-based controller

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