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DTSTART;TZID=America/Chicago:20250423T180000
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SUMMARY:Virtual Paper Review - Diffusion Transformers & Flow Matching (Wan 2.1 Technical Report)
DESCRIPTION:Join us virtually this Wednesday at 6pm to continue our monthly Paper Review series! This month we are looking at the concepts behind recent advancements in video generation. We will focus on Diffusion Transformers and Flow Matching techniques\, culminating in a review of the recent Wan 2.1 technical report. \nThis virtual session will follow our usual format. In the first half\, we will cover foundational concepts essential for understanding the paper and related techniques: \n\nVariational Autoencoders (VAEs)\nWhat is a latent space?\nCore principles of Diffusion Models\nDiffusion Transformers (DiTs) architecture\nRectified Flow / Flow Matching concepts\n\nThe second half will then review the Wan paper\, analyzing its components and contributions in the context of the concepts discussed: \n\nThe overall model architecture and innovations\nImplementation and role of the Spatio-Temporal VAE\nDataset construction and usage\nDetails of the Captioning Pipeline for text-to-video/image\nVideo Editing with Wan (VACE)\nExperiments in Video to Audio generation\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLinks: \n\nhttps://arxiv.org/abs/2503.20314 : Wan Technical Report\nhttps://arxiv.org/abs/2212.09748 : Diffusion Transformers\nhttps://arxiv.org/pdf/2210.02747 : Flow Matching for Generative Models\nhttps://arxiv.org/abs/1312.6114 : Variational Autoencoders\n\nDetails: \n\nDate – 4/23/2025\nTime – 6-7:30pm\nLocation – VIRTUAL\nZoom –https://us02web.zoom.us/j/87940486028?pwd=xfuet8FvR7hc63na4v3XyYEl2rWoAP.1
URL:https://www.hsv.ai/event/paper-review-wan/
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