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 # RIFE Video Frame Interpolation v1.8
-**Our paper has not been officially published yet, and our method and experimental results are under improvement.**
+**Our paper has not been officially published yet, and our method and experimental results are under improvement. Due to the incorrect data reference, the latency measurement of Sepconv and TOFlow in our arxiv paper needs to be modified.**
 ## [arXiv](https://arxiv.org/abs/2011.06294) | [Project Page](https://rife-vfi.github.io) | [Reddit](https://www.reddit.com/r/linux/comments/jy4jjl/opensourced_realtime_video_frame_interpolation/) | [YouTube](https://www.youtube.com/watch?v=60DX2T3zyVo&feature=youtu.be) | [Bilibili](https://www.bilibili.com/video/BV1K541157te?from=search&seid=5131698847373645765)
 
 **1.4 News: We have updated the v1.8 model optimized for 2D animation.**
@@ -143,7 +143,6 @@ python3 -m torch.distributed.launch --nproc_per_node=4 train.py --world_size=4
 ```
 
 ## Reference
-<img src="demo/intro.png" alt="img" width=350 />
 
 Optical Flow:
 [ARFlow](https://github.com/lliuz/ARFlow)  [pytorch-liteflownet](https://github.com/sniklaus/pytorch-liteflownet)  [RAFT](https://github.com/princeton-vl/RAFT)  [pytorch-PWCNet](https://github.com/sniklaus/pytorch-pwc)