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🧩 Building LEGO for 3D Reconstruction on Mobile Devices
A novel data capturing and 3D annotation pipeline in MobileBrick without relying on expensive 3D scanners.
🖥 Github: https://github.com/ActiveVisionLab/MobileBrick
⏩ Paper: https://arxiv.org/abs/2303.01932
⭐️ Dataset: http://www.robots.ox.ac.uk/~victor/data/MobileBrick/MobileBrick_Mar23.zip
💨 Project: https://code.active.vision/MobileBrick/
https://news.1rj.ru/str/DataScienceT
A novel data capturing and 3D annotation pipeline in MobileBrick without relying on expensive 3D scanners.
🖥 Github: https://github.com/ActiveVisionLab/MobileBrick
⏩ Paper: https://arxiv.org/abs/2303.01932
⭐️ Dataset: http://www.robots.ox.ac.uk/~victor/data/MobileBrick/MobileBrick_Mar23.zip
💨 Project: https://code.active.vision/MobileBrick/
https://news.1rj.ru/str/DataScienceT
❤5👍2
Ultra fast ControlNet with 🧨 Diffusers
ControlNet provides a minimal interface allowing users to customize the generation process up to a great extent.
🤗 Hugging face blog: https://huggingface.co/blog/controlnet
🖥 Colab: https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/controlnet.ipynb
🖥 Github: https://github.com/lllyasviel/ControlNet
⏩ Paprer: https://arxiv.org/abs/2302.05543
https://news.1rj.ru/str/DataScienceT
ControlNet provides a minimal interface allowing users to customize the generation process up to a great extent.
🤗 Hugging face blog: https://huggingface.co/blog/controlnet
🖥 Colab: https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/controlnet.ipynb
🖥 Github: https://github.com/lllyasviel/ControlNet
⏩ Paprer: https://arxiv.org/abs/2302.05543
https://news.1rj.ru/str/DataScienceT
❤🔥6❤1
⭐️ SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries, CVPR 2023
Exact method for computing partitions of a Deep Neural Network
🖥 Github: http://github.com/AhmedImtiazPrio/SplineCAM
🖥 Colab: https://bit.ly/splinecam-demo
⏩ Paper: http://arxiv.org/pdf/2302.12828.pdf
⭐️ Project: http://imtiazhumayun.github.io/splinecam
https://news.1rj.ru/str/DataScienceT
Exact method for computing partitions of a Deep Neural Network
🖥 Github: http://github.com/AhmedImtiazPrio/SplineCAM
🖥 Colab: https://bit.ly/splinecam-demo
⏩ Paper: http://arxiv.org/pdf/2302.12828.pdf
⭐️ Project: http://imtiazhumayun.github.io/splinecam
https://news.1rj.ru/str/DataScienceT
❤🔥6
Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR 2023)
🖥 Github: https://github.com/csmile-1006/preferencetransformer
⏩ Paper: https://arxiv.org/abs/2303.00957v1
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/csmile-1006/preferencetransformer
⏩ Paper: https://arxiv.org/abs/2303.00957v1
https://news.1rj.ru/str/DataScienceT
❤🔥4❤2👍1
Handwritten Digit Recognition with LeNet5 Model in PyTorch
by Adrian Tam on March 8, 2023 in Deep Learning with PyTorch
🔗: https://machinelearningmastery.com/handwritten-digit-recognition-with-lenet5-model-in-pytorch
https://news.1rj.ru/str/DataScienceT
by Adrian Tam on March 8, 2023 in Deep Learning with PyTorch
🔗: https://machinelearningmastery.com/handwritten-digit-recognition-with-lenet5-model-in-pytorch
https://news.1rj.ru/str/DataScienceT
❤🔥5❤1
💬 GLIGEN: Open-Set Grounded Text-to-Image Generation
GLIGEN’s zero-shot performance on COCO and LVIS outperforms that of existing supervised layout-to-image baselines by a large margin. Code comming soon.
⭐️ Project: https://gligen.github.io/
⭐️ Demo: https://aka.ms/gligen
✅️ Paper: https://arxiv.org/abs/2301.07093
🖥 Github: https://github.com/gligen/GLIGEN
https://news.1rj.ru/str/DataScienceT
GLIGEN’s zero-shot performance on COCO and LVIS outperforms that of existing supervised layout-to-image baselines by a large margin. Code comming soon.
⭐️ Project: https://gligen.github.io/
⭐️ Demo: https://aka.ms/gligen
✅️ Paper: https://arxiv.org/abs/2301.07093
🖥 Github: https://github.com/gligen/GLIGEN
https://news.1rj.ru/str/DataScienceT
❤🔥4