tdanet
Implicit-Internal-Video-Inpainting
tdanet | Implicit-Internal-Video-Inpainting | |
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1 | 4 | |
83 | 239 | |
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0.0 | 0.0 | |
over 1 year ago | almost 2 years ago | |
Python | Python | |
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tdanet
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Centipede Diffusion V2 is out! Now with inpainting for Latent Diffusion and Disco Diffusion
I will be trying this out! Is there any way the current framework can support text-guided inpainting, like TDANet?
Implicit-Internal-Video-Inpainting
- HKUST AI Researchers Propose A Novel Neural Framework For Video Inpainting By Overfitting A CNN (Convolutional Neural Network) Without Explicit Guidance
- [R] HKUST AI Researchers Propose A Novel Neural Framework For Video Inpainting By Overfitting A CNN (Convolutional Neural Network) Without Explicit Guidance
What are some alternatives?
MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
WebmGenerator - UI and Automation to cut, filter and join high quality webms, mp4s or gifs.
TFill - [CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion
DeepMosaics - Automatically remove the mosaics in images and videos, or add mosaics to them.
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
PEN-Net-for-Inpainting - [CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
ProPainter - [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
StableVideo - [ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing
crispy - Crispy is a machine-learning algorithm to make video-games montages efficiently. It uses a neural network to detect highlights in the video-game frames