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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🏔️MPS-Net: new SOTA for #3D human🏔️

👉MPS-Net: accurate & temporally coherent 3D human pose/shape from video

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
MoCA: visual cues from motion
HAFI to mix past/future feats
Stronger temporal correlation
SOTA on multiple datasets

More: https://bit.ly/3uAI5EB
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🤿Transfiner: hyper-detailed segmentation🤿

👉Mask Transfiner: #AI for HQ & efficient instance segmentation

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Transfiner: HQ segmentation
HQ seg. via quadtree structure
SOTA & extreme details
Code under MIT License

More: https://bit.ly/3KVzseM
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🥙 DualStyleGAN: SOTA in style transfer🥙

👉Flexible control of dual styles of face domain and extended artistic portrait domain

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
High-resolution (1024*1024)
Intrinsic/extrinsic style path
Hierarchical style manipulation
Novel progressive fine-tuning
Source code under MIT License

More: https://bit.ly/3uS26Xp
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🍚 GTR: Global Tracking Transformers 🍚

👉UTexas + Apple: transformer for global multi-object tracking

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
GTR operates on any object
Few frames->global trajectories
SOTA on detectors for any object
Code under Apache License 2.0

More: https://bit.ly/3DiqkxF
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🧠E2E Perception for #selfdrivingcars🧠

👉HybridNets: multi-task net with several key optimizations

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
End-to-end perception network
Traffic, lane, object detection
Drivable segmentation area
Real-time on embedded systems
Source code under MIT License

More: https://bit.ly/3JMk8Az
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🛩️Smart Parking with UAVs🛩️

👉A novel methodology to monitor car parking areas in real-time via Drones/UAVs

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
YoloV3 + DeepSort tracker
Vehicle detection/tracking
Occupancy estimation via RT
Four blocks, unique pipeline

More: https://bit.ly/3iJD8nm
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👕 Detecting Events via #AI 👕

👉Localizing object states & corresponding state-modifying actions

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
SS-learning state-modifying
Noise adaptive weighting
ChangeIt: 2.6k+ hrs , 34k+ changes
Dataset, code, and model!

More: https://bit.ly/3uBwxkj
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🌈🌈 Interactive Neural Labelling 🌈🌈

👉Dense labelling of geometry, color & semantics via #3D neural field

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
No training data
Dense labeling
Classes on the fly
Labelling at a scale

More: https://bit.ly/36Y0faQ
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♟️Neural RGB-D Reconstruction♟️

👉Novel approach for #3D mixing implicit surface representations with NeRFs

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
RGB-D based reconstruction
Leveraging color & depth
Depth into the NeRF
Pose & camera refinement

More: https://bit.ly/3iN6e54
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🦓 Hyper-Fast Refinement 🦓

👉SharpContour: novel contour-based refinement for semantic segmentation

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Instance-aware Point Classifier
Deforming by discrete updating
Estimating offsets independently
Source code soon available!

More: https://bit.ly/3qL04GY
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🥗 Neural Mesh via Text only 🥗

👉Zero-shot generation of 3D model using only a target text prompt

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
ZS 3D model with text only
ZS text-guided generation
Meshes with texture/normal
Differentiable LLS implementation

More: https://bit.ly/3u0qnvb
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🪆#3D, Materials, and Lighting from 2D🪆

👉Nvidia: topology, materials & map lighting jointly from 2D. INSANE 😮

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Topology, materials and lighting
Meshes with materials/lighting
Compact volumetric texturing
Differentiable all-frequency lighting
Code under #NVIDIA License

More: https://bit.ly/3IUoF2t
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🍜Ref-NeRF for extreme realism🍜

👉Ref-NeRF: reflected radiance & structures via collection of spatially-varying scene properties

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Realism and accuracy
Replacing NeRF’s params
Regularization of volume density
Integrated Directional Encoding

More: https://bit.ly/3tTlS5l
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🦧OFA for all: Cross, Vision, Language🦧

👉Unified multimodal model for image generation, visual grounding, etc.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Sequence-to-sequence learning
Image Captioning / Generation
Visual Grounding / Classification
Text-to-Image Generation
Visual Question Answering

More: https://bit.ly/3wSTGlc
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🍿Old Films Back to Life with #AI🍿

👉Recurrent transformer network (RTN) to restore heavily degraded old films

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Transformer blocks for spatial
Knowledge from adjacent frames
Color from keyframes to whole clip
Source code available in days!

More: https://bit.ly/3wZbV8y
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🍊Neural Head #Avatars from RGB🍊

👉Novel neural representation for animatable head avatar

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Novel articulated human head
Full-geometry reconstruction
Differentiable optimization pipeline
Disentanglement of shape/color

More: https://bit.ly/3DxUGMI
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🌶️ MyStyle: personal generative #AI 🌶️

👉Personalized deep generation with a few shots of a person

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Small set of portraits(∼100)
Local, low-dim, personal manifold
Personal #AI for ill-posed tasks
SOTA vs. previous few-shots

More: https://bit.ly/3wWMwMu
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🦆 GAN + Dense Map 🦆

👉CoordGAN: structure-texture disentangled GAN with dense correspondence map

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Novel coordinate space
Warping to learn coordinate
Encoder for structure representation
HQ structure/texture editable images

More: https://bit.ly/3DOlOaB
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Unified shape & non-rigid motion

👉CaDeX: SOTA in both shape & non-rigid motion

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Canonical Deformation Coordinate Space
Shape + non rigid motion representation
Factorization of def-homeomorphisms
Cycle consistency, topology & volume
SOTA in modelling deformable objects

More: https://bit.ly/3NM5NX1
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📸 ~6 BILLION CLIP-filtered pairs 📸

👉A dataset 14x bigger than the previously biggest openly accessible image-text dataset in the world.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
2,3B English image-text pairs
2,2B from 100+ other languages
1,3B language not detected
KNN index for quick search

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