🪩 DiffusionLight: Light Probes for Free by Painting a Chrome Ball.
🖥 GitHub: https://github.com/DiffusionLight/DiffusionLight
🔮 Colab: https://colab.research.google.com/drive/15pC4qb9mEtRYsW3utXkk-jnaeVxUy-0S?usp=sharing&sandboxMode=true
📚 Paper: https://arxiv.org/abs/2312.09168
🥩 Score Measurement: https://vistec-my.sharepoint.com/:f:/g/personal/pakkapon_p_s19_vistec_ac_th/EvBHbnLrVnZArhQTcboh6qkBGcSqUqzdgx13iZ2IsLPzOw
🖥 GitHub: https://github.com/DiffusionLight/DiffusionLight
🔮 Colab: https://colab.research.google.com/drive/15pC4qb9mEtRYsW3utXkk-jnaeVxUy-0S?usp=sharing&sandboxMode=true
📚 Paper: https://arxiv.org/abs/2312.09168
🥩 Score Measurement: https://vistec-my.sharepoint.com/:f:/g/personal/pakkapon_p_s19_vistec_ac_th/EvBHbnLrVnZArhQTcboh6qkBGcSqUqzdgx13iZ2IsLPzOw
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🖼 ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation
🖥 GitHub: https://github.com/bytedance/ImageDream
📚 Paper: https://arxiv.org/abs/2312.02201
🥩 Demo: https://github.com/bytedance/ImageDream/blob/main
🖥 GitHub: https://github.com/bytedance/ImageDream
📚 Paper: https://arxiv.org/abs/2312.02201
🥩 Demo: https://github.com/bytedance/ImageDream/blob/main
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Exploring the potential of channel interactions for image restoration
🖥 Github: https://github.com/c-yn/ChaIR
📕 Paper: https://www.sciencedirect.com/science/article/abs/pii/S0950705123009061
🔥 Dataset: https://paperswithcode.com/dataset/reside
✨ Tasks: https://paperswithcode.com/task/deblurring
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/c-yn/ChaIR
📕 Paper: https://www.sciencedirect.com/science/article/abs/pii/S0950705123009061
🔥 Dataset: https://paperswithcode.com/dataset/reside
✨ Tasks: https://paperswithcode.com/task/deblurring
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🥳FreeInit with AnimateDiff Gradio Colab
🖥 colab: https://github.com/camenduru/FreeInit-colab
🔮page: https://tianxingwu.github.io/pages/FreeInit/
📚paper: https://arxiv.org/abs/2312.07537
🥩code: https://github.com/TianxingWu/FreeInit
🖥 colab: https://github.com/camenduru/FreeInit-colab
🔮page: https://tianxingwu.github.io/pages/FreeInit/
📚paper: https://arxiv.org/abs/2312.07537
🥩code: https://github.com/TianxingWu/FreeInit
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🔍 FIND: Interface Foundation Models' Embeddings
🖥 Code: https://github.com/UX-Decoder/FIND
🎓 Demo: http://find.xyzou.net/
🔮 Project Page: https://x-decoder-vl.github.io
🥩 Demo: http://find.xyzou.net
📚 ArXiv: https://arxiv.org/pdf/2312.07532.pdf
🖥 Code: https://github.com/UX-Decoder/FIND
🎓 Demo: http://find.xyzou.net/
🔮 Project Page: https://x-decoder-vl.github.io
🥩 Demo: http://find.xyzou.net
📚 ArXiv: https://arxiv.org/pdf/2312.07532.pdf
👍4❤1
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⚡️ LongAnimateDiff, a text2video model for generating extended videos.
🖥 Code: https://github.com/Lightricks/LongAnimateDiff
🎓 HF: https://huggingface.co/spaces/Lightricks/LongAnimateDiff
🖥 Code: https://github.com/Lightricks/LongAnimateDiff
🎓 HF: https://huggingface.co/spaces/Lightricks/LongAnimateDiff
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Adversarial AutoMixup
🖥 Github: https://github.com/jinxins/adversarial-automixup
📕 Paper: https://arxiv.org/pdf/2312.11954v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cifar-100
✨ Tasks: https://paperswithcode.com/task/classification-1
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/jinxins/adversarial-automixup
📕 Paper: https://arxiv.org/pdf/2312.11954v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cifar-100
✨ Tasks: https://paperswithcode.com/task/classification-1
https://news.1rj.ru/str/DataScienceT
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PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models 🎄 🎁 🎅 Colab 🥳
🎓 page: https://pi-animator.github.io
📚 paper: https://arxiv.org/abs/2312.13964
🖥 code: https://github.com/open-mmlab/PIA
🥩 OpenXLab: https://openxlab.org.cn/apps/detail/zhangyiming/PiaPia
🥩 colab: https://github.com/camenduru/PIA-colab
https://news.1rj.ru/str/DataScienceT
🎓 page: https://pi-animator.github.io
📚 paper: https://arxiv.org/abs/2312.13964
🖥 code: https://github.com/open-mmlab/PIA
🥩 OpenXLab: https://openxlab.org.cn/apps/detail/zhangyiming/PiaPia
🥩 colab: https://github.com/camenduru/PIA-colab
https://news.1rj.ru/str/DataScienceT
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Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting
🖥 Github: https://github.com/junwuzhang19/repaint123
📕 Paper: https://arxiv.org/pdf/2312.13271v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/nerf
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/junwuzhang19/repaint123
📕 Paper: https://arxiv.org/pdf/2312.13271v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/nerf
https://news.1rj.ru/str/DataScienceT
👍7
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🌠AnyDoor: Zero-shot Object-level Image Customization
🖥 Code: https://github.com/damo-vilab/AnyDoor
🎓 HF: https://huggingface.co/spaces/xichenhku/AnyDoor-online
🔮 Project Page: https://damo-vilab.github.io/AnyDoor-Page/
📚 ArXiv: https://arxiv.org/abs/2307.09481
https://news.1rj.ru/str/DataScienceT
pip install git+https://github.com/cocodataset/panopticapi.git
pip install pycocotools -i https://pypi.douban.com/simple
pip install lvis🖥 Code: https://github.com/damo-vilab/AnyDoor
🎓 HF: https://huggingface.co/spaces/xichenhku/AnyDoor-online
🔮 Project Page: https://damo-vilab.github.io/AnyDoor-Page/
📚 ArXiv: https://arxiv.org/abs/2307.09481
https://news.1rj.ru/str/DataScienceT
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The first channel in the world of Telegram is dedicated to helping students and programmers of artificial intelligence, machine learning and data science in obtaining data sets for their research.
https://news.1rj.ru/str/datasets1
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Telegram
Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
Admin: @HusseinSheikho || @Hussein_Sheikho
Admin: @HusseinSheikho || @Hussein_Sheikho
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An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
🖥 Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms
📕 Paper: https://arxiv.org/pdf/2312.14794v1.pdf
✨ Tasks: https://paperswithcode.com/task/information-retrieval
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms
📕 Paper: https://arxiv.org/pdf/2312.14794v1.pdf
✨ Tasks: https://paperswithcode.com/task/information-retrieval
https://news.1rj.ru/str/DataScienceT
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Boost our channel and get free membership in our paid channel
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Machine Learning
Boost this channel to help it unlock additional features.
🍏Ferret: Refer and Ground Anything Anywhere at Any Granularity
🖥 Code: github.com/apple/ml-ferret
🎓 Paper: https://arxiv.org/abs/2310.07704
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🖥 Code: github.com/apple/ml-ferret
🎓 Paper: https://arxiv.org/abs/2310.07704
https://news.1rj.ru/str/DataScienceT
🎞ViStripformer (Video-Stripformer)
🖥 Github: https://github.com/pp00704831/ViStripformer
📕 Paper: https://arxiv.org/pdf/2312.14502v1.pdf
✨ Tasks: https://paperswithcode.com/task/deblurring
🔥Datasets: https://paperswithcode.com/dataset/gopro
🖥 Github: https://github.com/pp00704831/ViStripformer
📕 Paper: https://arxiv.org/pdf/2312.14502v1.pdf
✨ Tasks: https://paperswithcode.com/task/deblurring
🔥Datasets: https://paperswithcode.com/dataset/gopro
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🐱DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing
🖥 Code: https://github.com/Kevin-thu/DiffMorpher
🧪OpenXLab: https://openxlab.org.cn/apps/detail/KaiwenZhang/DiffMorpher
🎓 Colab: https://github.com/camenduru/DiffMorpher-colab
🔮 Project Page: https://kevin-thu.github.io/DiffMorpher_page
📚 ArXiv: https://arxiv.org/abs/2312.07409
https://news.1rj.ru/str/DataScienceT
🖥 Code: https://github.com/Kevin-thu/DiffMorpher
🧪OpenXLab: https://openxlab.org.cn/apps/detail/KaiwenZhang/DiffMorpher
🎓 Colab: https://github.com/camenduru/DiffMorpher-colab
🔮 Project Page: https://kevin-thu.github.io/DiffMorpher_page
📚 ArXiv: https://arxiv.org/abs/2312.07409
https://news.1rj.ru/str/DataScienceT
👍4
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⚡️ MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
🖥 Code: https://github.com/TencentARC/MotionCtrl
🎓 Colab: https://github.com/camenduru/MotionCtrl-colab
🔮 Project Page: https://openxlab.org.cn/apps/detail/camenduru/MotionCtrl
📚 ArXiv: https://arxiv.org/abs/2312.03641
https://news.1rj.ru/str/DataScienceT
🖥 Code: https://github.com/TencentARC/MotionCtrl
🎓 Colab: https://github.com/camenduru/MotionCtrl-colab
🔮 Project Page: https://openxlab.org.cn/apps/detail/camenduru/MotionCtrl
📚 ArXiv: https://arxiv.org/abs/2312.03641
https://news.1rj.ru/str/DataScienceT
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LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
🖥 Github: https://github.com/OpenDriveLab/LaneSegNet
📕 Paper: https://arxiv.org/abs/2312.16108v1
🔥Datasets: https://paperswithcode.com/dataset/openlane-v2
https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/OpenDriveLab/LaneSegNet
📕 Paper: https://arxiv.org/abs/2312.16108v1
🔥Datasets: https://paperswithcode.com/dataset/openlane-v2
https://news.1rj.ru/str/DataScienceT
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