Video Inpainting using 3D Convolutional Neural Network autoencoder
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Updated
Feb 5, 2018 - Python
Video Inpainting using 3D Convolutional Neural Network autoencoder
This is the source code of "Temporally Coherent Completion of Dynamic Video", ACM Transactions on Graphics (TOG), 2016, from https://filebox.ece.vt.edu/~jbhuang/project/vidcomp/ NOTE: I'm not the author.
Just draw a bounding box and you can remove the object you want to remove. Original repo -> https://github.com/zllrunning/video-object-removal
Just draw a bounding box and you can remove the object you want to remove.
Official Pytorch implementation of Copy-and-Paste Networks for Deep Video Inpainting (ICCV 2019)
VFX Blender Add-on for removing objects from a video using Deep Learning
FGVC Video completion in google colab using google drive
Removing overlays from subsea inspection videos
[제 12회 투빅스 컨퍼런스] erAIser - 영상 속 원하지 않는 물체 제거 AI
[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting
4K videos with annotated masks in our ICCV2021 paper 'Internal Video Inpainting by Implicit Long-range Propagation'.
[제 12회 투빅스 컨퍼런스] erAIser - 영상 속 원하지 않는 물체 제거 AI
Implementation of the master's thesis "Temporal copying and local hallucination for video inpainting".
[ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation
Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"
[CVPR 2022] Inertia-Guided Flow Completion and Style Fusion for Video Inpainting
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
BSc Thesis at Warsaw University of Technology
Real-time Video Inpainting
IEEE 2023 | REGIS: Refining Generated Videos via Iterative Stylistic Remodeling
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