SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.
Abstract: Blind video quality assessment (BVQA) plays an indispensable role in monitoring and improving the end-users’ viewing experience in various real-world video-enabled media applications. As an ...
Abstract: Video summarization (VS) technologies can automatically extract key frames with effective information and thus can help to quickly identify the events or speed up the decision-making process ...
The race to release world models is on as AI image and video generation company Runway joins an increasing number of startups and Big Tech companies by launching its first one. Dubbed GWM-1, the model ...
PyTorchSim is a comprehensive, high-speed, cycle-accurate NPU simulation framework. We define a RISC-V-based NPU architecture and implement PyTorch compiler backend to run inference & training for ...
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