AnimeInterp
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lisiyao21
The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"
Sincerely thank you for your work! Since my research is based on the dataset ATD-12k you provided, I would like to use the pictures contained in the dataset when writing...
Hello, can you provide some inference code, i.e. pure inference code for img2 from img1 and img3?
Thanks for your excellent work! Could you please provide the weight after the "training phase", which is after the stage "training on a real-world dataset for 200 epochs" ? >...
Hello Siyao, Refer to Issue #11, you mentioned there's a guide for generating SGM flows, may I ask where I can find it? If not, would you mind correcting my...
Hello, thank you for your excellent paper on cartoons. I want to use your code to generate optical flow on my own cartoon video dataset, but I see that your...
Thanks for your nice work! Could you please the weight "models/raft_model/models/rfr_sintel_latest.pth-no-zip" in the https://github.com/lisiyao21/AnimeInterp/blob/3c55b0c6c66427955771bd510fe61f4088752c1c/models/AnimeInterp_no_cupy.py#L46 ?
Fantastic work! Does anyone know of a google colab notebook available anywhere so that less technically inclined folks like myself can try this out? Thanks!
Hello, I find it very slow when I use gen_labelmap.py to generate labelmap. I wonder how we can accelerate the procedure with GPU or any clue on it? Thank you...
https://github.com/lisiyao21/AnimeInterp/blob/85b17982981ec26cec6352c10fab5a0a1cac8cbb/models/AnimeInterp.py#L55 Hi, I see that you choose *summation* mode when applying softsplat. Did you ablate other modes? Thx!
