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🔗 GitHub_Link
T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
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🔗 Tutorial_Link
Paperspace Blog:
Tutorials, sample apps, and more created by the Paperspace internal research team and community
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🔗 GitHub_Link
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
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🔗 GitHub_Link
Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks
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🔗 GitHub_Link
Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
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🔗 GitHub_Link
Pytorch implementation of "LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation"
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🔗 GiHub_Link
FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution
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🔗 GitHub_Link
Exploring the connections between artworks with deep 💥Visual Analogies 💥
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🔗 GitHub_Link
AutoRecon: Automated 3D Object Discovery and Reconstruction
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Projects related to 3D-GAN and beyond:
https://3d-diffusion.github.io/
https://github.com/nv-tlabs/GET3D
https://github.com/NVlabs/eg3d
https://github.com/hongfz16/EVA3D
https://barc.is.tue.mpg.de/
https://rakhimovv.github.io/npbgpp/
https://github.com/yuliangxiu/icon
https://banmo-www.github.io/
https://www.wpeebles.com/gangealing
https://github.com/nv-tlabs/ATISS
https://github.com/facebookresearch/co3d
https://nex-mpi.github.io/
https://bednarikjan.github.io/projects/temp_cons_surf_rec/
https://facebookresearch.github.io/3detr/
https://github.com/facebookresearch/DepthContrast
https://github.com/soubhiksanyal/FLAME_PyTorch
https://marcoamonteiro.github.io/pi-GAN-website/
https://xingangpan.github.io/projects/GAN2Shape.html
https://m-niemeyer.github.io/project-pages/giraffe/index.html
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🔗 GitHub_Link
DE-Net: Dynamic Text-guided Image Editing Adversarial Networks
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🔗 GitHub_Link
MagicStick: This repo is the official implementation of "MagicStick: Controllable Video Editing via Control Handle Transformations
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🔗 GiHub_Link
FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution
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🔗 GitHub_Lab
Kornia — Geometric Computer Vision Library for Spatial AI
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🔗 GitHub_Lab
PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision by Nvidia.
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🔗 GitHub_Link
HydraTutorial at AutoML Fall School 2023
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🔗 GitHub_Link
SMARTS (Scalable Multi-Agent Reinforcement Learning Training School) is a simulation platform for multi-agent reinforcement learning (RL) and research on 💥 autonomous driving 💥
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🔗 GitHub_Link
VanillaNet is an innovative neural network architecture that focuses on simplicity and efficiency. Moving away from complex features such as shortcuts and attention mechanisms, VanillaNet uses a reduced number of layers while still maintaining excellent performance. This project showcases that it's possible to achieve effective results with a lean architecture, thereby setting a new path in the field of computer vision and challenging the status quo of foundation models.
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