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"AI4Animation
This project explores the opportunities of deep learning for character animation and control as part of my Ph.D. research at the University of Edinburgh in the School of Informatics, supervised by Taku Komura..."
This project explores the opportunities of deep learning for character animation and control as part of my Ph.D. research at the University of Edinburgh in the School of Informatics, supervised by Taku Komura..."
Forwarded from Neural Shit
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Классный FaceSwap, позволяет переносить отдельные части лица.
Для желающих поиграться, ноутбук тут
Для желающих поиграться, ноутбук тут
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"...Say goodbye to flatland. We show how curriculum+RL can learn policies to traverse difficult step sequences and variable terrain (rewards only; no example data)..."
YOLO5 is here! https://blog.roboflow.ai/yolov5-is-here/
Roboflow Blog
YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS
Less than 50 days after the release YOLOv4, YOLOv5 improves accessibility for realtime object detection.
June 29, YOLOv5 has released the first official version of the repository. We wrote a new deep dive on YOLOv5.
June 12, 8:08 AM CDT Update: In response…
June 29, YOLOv5 has released the first official version of the repository. We wrote a new deep dive on YOLOv5.
June 12, 8:08 AM CDT Update: In response…
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DisentangledFaceGAN
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ApartmentPlan 0.2 StyleGAN2
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ApartmentPlan 0.3 StyleGAN2
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"Q. Can we find winning lottery tickets, or sparse trainable deep networks at initialization without ever looking at data?
A. Yes, by conserving "Synaptic Flow" via our new SynFlow algorithm..."
A. Yes, by conserving "Synaptic Flow" via our new SynFlow algorithm..."
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Dance Revolution: Long Sequence Dance Generation
with Music via Curriculum Learning
with Music via Curriculum Learning
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"The code and data for our previous animation research on character-scene interactions is online. Mocap available as annotated Unity assets. Includes locomotion, sitting, carrying, opening doors, avoiding obstacles and more..."
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XiaoiceSing: A High-Quality and Integrated Singing Voice Synthesis System
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Thinking Machines
"Thinking Machines радикально преобразует рабочий процесс дизайнеров, пересматривая концепцию «персональных компьютеров» в эпоху нейронных сетей."
"Thinking Machines радикально преобразует рабочий процесс дизайнеров, пересматривая концепцию «персональных компьютеров» в эпоху нейронных сетей."
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Thinking Machines - это семестровый проект в Media Design Master, HEAD - Genève, в котором студенты будут пересматривать концепцию «персональных компьютеров» в эпоху нейронных сетей и исследовать, как создание персонализированных помощников может изменить их творческий рабочий процесс.
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The code of the research "PIFuHD", which was adopted by Oral and which realizes high resolution full 3D of person from one image, has been released on github
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Coherent Reconstruction of Multiple Humans from a Single Image
Forwarded from Neurohive - Нейронные сети, AI, ML, DL
YOLOv5 — обновленная версия YOLO, state-of-the-art модели для распознавания объектов в реальном времени. YOLOv5 выдает предсказания со скоростью 140 кадров в секунду. При этом модель весит меньше, чем YOLOv4, на ~90%.
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A Neural Rendering Framework for Free-Viewpoint Relighting (CVPR 2020)
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How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds