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Deep Video Frame Interpolation using Cyclic Frame Generation

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@alex04072000 Does the steps in stage1 need to be the same as stage2?

``` InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: Incompatible shapes: [65536] vs. [131072] [[{{node Cycle_DVF/interpolate/add_4}}]] [[Cycle_DVF/add_3/_135]] (1) Invalid argument: Incompatible shapes: [65536] vs. [131072] [[{{node Cycle_DVF/interpolate/add_4}}]] ``` Facing this...

Hi, I saw your video which was very cool. But can you share your demo code that given a video, it generates the output video? Currently I see `run.py` only...

Error: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA Pre-trained model restored from ./ckpt/ckpt/CyclicGen/model facing above issue while executing run file-...

Should I replace CyclicGen_train_stage1's `ucf101_train_files_frameX.txt` to `frameX.txt` generated by following steps ? ``` # 1. download UCF101 and rename: wget https://www.crcv.ucf.edu/data/UCF101/UCF101.rar && unrar x UCF101.rar && mv UCF-101 UCF101 #...

Hi! I used run.py to generate interpolated frames on UCF101 dataset first and then calculated average PSNR. However, there is a little difference between my result and yours from the...

I just tested on video surf in DAVIS dataset. I don't know where went wrong, but, like the title, the motion is not as smooth as your demo. The interpolated...