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Paper Review - InstantID
Identity-Perserving Generation task refers to synthesizing an image that contains a desired person's identity. InstantID tackles this task with only one reference facial image. Moreover, InstantID does not require test-time training while utilizing the learned prior from diffusion-based foundation models like Stable Diffusion. Such methodology is highly efficient compared to previous methods that require fine-tuning on the foundation model. According to the paper, this work shows superior results in Identity-Perserving Generation, outperforming LoRA-based and IP-adapter-based methods qualitatively.
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Notes on Video Diffusion Models
My handwritten notes on Video Diffusion models. Includes TokenFlow, Fairy, LaVie
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Reflection in 2023 [Encrypted]
Its been a while since my last blogging post. I put my collection of thoughts throughout 2023 here.
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Implementing Team Fortress 2 (TF2) Shader in C++
A small project that I did for my Computer Graphics course at uwaterloo.
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RBFN, KSON and Hopfield Network
We cover Radial Basis Function Network (RBFN), Kohonen’s Self-Organizing Network (KSON) and Hopfield Network.