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Yingtao Tian
@alanyttian
↑ profile picture is dreamed by Anime GAN / cooking computational and ML sauce at Sakana AI / before: google {brain,deepmind} ← stony brook u ← fudan u
Tokyo-to, Japan
Joined February 2010
Posts
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    bilibili.com/video/BV1yv4y1… ^ LeNet-5 for MNIST using ... Redstones in Minecraft!
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    ARC Ukiyo-e dataset faces (codh.rois.ac.jp/ukiyo-e/face-d…) can be translated from selfies (github.com/znxlwm/UGATIT-…), if we train a GANsNRoses model (github.com/mchong6/GANsNR…) on them......
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    On the wall outside NeurIPS Workshop on Machine Learning for Creativity and Design 3.0
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    Joining Sakana AI today.
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    Generating Virtual YouTubers face, fully controlled by pose parameters (or even pose extracted from existing videos), from only a single image rather than 3D model. Very interesting work by Pramook Khungurn. pkhungurn.github.io/talking-head-a…
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    Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts It's a fun work w/ @hardmaru Pdf arxiv.org/abs/2109.08857 Web es-clip.github.io Code github.com/google/brain-t…
    GIF
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    This summer I will join Google Brain *Tokyo* for a research position after graduation. I am super excited, seeing many opportunities in research and beyond! Also it seems to be time to consider adding a "views are my own" disclaimer 🤣
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    After defending my thesis --- I'm (officially) a PhD Now 😀
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    youtube.com/watch?v=PUkQbG… 10 Minutes of Imaginary Japanese Anime Face, dreamed by (an 256x256 version) of our #MakeGirlsMoe GAN model that is accepted in #NIPS2017 Workshop for Machine Learning for Creativity and Design!
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    This is *amazingly* great in terms of quality!
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    Our work "Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation" has been accepted #iccc21! Ukiyo-e paintings with labelled attributes and automatically extracted face landmarks, allowing quantitative analysis and fun ML experiments. arxiv.org/abs/2106.02267
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    The beautiful (and new) colorization in @hardmaru 's poster is done using paints transfer!
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    Image transfer quality that i've being dreaming of.
    京都旅行中に写真を撮った。
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    Our work "Kaokore: The Pre-modern Japanese Art Facial Expression Dataset" has been accepted @iccc_conf '20 ! Looking forward to presenting it, either physically on Portugal, or more likely virtually.
    KaoKore: A Pre-modern Japanese Art Facial Expression Dataset Labelled faces extracted from pre-modern Japanese artwork! Allows for fun ML experiments, like Intrinsic Style Transfer + Learning to Paint. Researchers are probably “commoners” in Edo-Period. arxiv.org/abs/2002.08595