Day1 Test

I did nothing on Jan7

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Reference-GAN (updated on 2/28/2020)

https://pathmind.com/wiki/generative-adversarial-network-gan Notes: Discriminative models learn the boundary between classes Generative models model the distribution of individual classes i.e. the discriminator decides whether each instance of data that it reviews belongs to the actual training dataset or not. Here are the steps a GAN takes: The generator takes in random numbers and returns an image. This generated image is fed into the discriminator alongside a stream of images taken from the actual, ground-truth dataset. The discriminator takes in both real and fake images and returns probabilities, a number between 0 and 1, with 1 representing a prediction of authenticity and 0 representing fake. https://ai.googleblog.com/2017/12/introducing-new-foveation-pipeline-for.html Notes: However, current VR/MR technologies present a fundamental challenge: to present images at the extremely high resolution required for immer...
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Project Progress and Research 3nd round

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Project Progress: In the search of overcoming the incompability of RaymarchingToolkit among different renderers, I eventually found one that could be used on latest RP. This new Toolkit does have the melting effect as the previous one, what it's able to do is to separate a single cube into mutiple hexgons, the amount of which only depends on the scale of cube. I thinks it's pretty fit for the candle body. Also, I'm also trying to give my scene a table cloth as physical-realistic as possible. Fortunately, I found something really interesting. https://github.com/Ninjajie/Fusion#cloth-plugin-user-guide The plugin realized physical object simulation in unity based on Physical-Based-Dynamic, which is not perfectly accurate as physical stuff but fast enough for real-time rendering. Furthermore, authors had a comparsion of the same althorigm between CPU and GPU. They used compute shaders with HLSL for caculations on GPU. I tried to do the simulation and the differenc...
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Project Progress and Research 2nd

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Paper1: Renato Farias,Marcelo Kallmann.  Improved Shortest Path Maps with GPU Shaders The paper designs two approaches with three types of models to realize rendering for points cloud. What inspired me is the potentials of application to WebGPU which currently counldn't have a fairly good performance as shader does in other fields. I don't really know the workflow of Web rendering for the time being, and also confused on what kind of restricition should I specifically jump into. Maybe a good start is search the terms like 'limitation of XXX', 'limitation of shaders',etc. Paper2:   KERRY A. SEITZ, JR,TIM FOLEY,SERBAN D. PORUMBESCU,JOHN D. OWENS.  Staged Metaprogramming for Shader System Development This is even a more advanced paper for me cuz it mentioned about metaprogramming and its super long with pages of codes. However, except metaprogramming, I feel it's readable for the rest of content,  the main purpose is to improve the shader...
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