Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet. video anime vulkan waifu2x video-processing super-resolution image...
No matter which engine I use or which settings, the video upscale always produces incorrect color. Image is fine and they always remain correct color, but video does not. Image from original video Image from upscaled video As you can see, colors are off. Again, images are fine Default ...
git clone https://github.com/sczhou/Upscale-A-Video.gitcdUpscale-A-Video Create Conda Environment and Install Dependencies #create new conda envconda create -n UAV python=3.9 -y conda activate UAV#install python dependenciespip install -r requirements.txt ...
合成视频:在合成低质量视频的比较中,Upscale-A-Video能够恢复更准确的结构和细节,如墙壁的纹理和考拉的毛发。 真实世界视频:在真实世界视频的比较中,Upscale-A-Video能够有效地利用扩散模型的优势,恢复如广告牌上的文字等细节。 AIGC视频:在AIGC视频的比较中,Upscale-A-Video在文本提示的指导下,展示了增强的结果,...
为了解决这些难题,新加坡南洋理工大学的研究人员开发了一种Upscale-A-Video框架,无需任何训练便能快速集成到大模型中,提供视频超分辨率、去噪、还原等强大功能。论文地址:https://arxiv.org/abs/2312.06640 开源地址:https://github.com/sczhou/Upscale-A-Video 项目地址:https://shangchenzhou.com/projects/...
这种方法适用于各种真实世界的视频场景,包括老旧电影片段和现代实拍视频。 论文:https://arxiv.org/abs/2312.06640 GitHub:https://github.com/sczhou/Upscale-A-Video 演示:https://shangchenzhou.com/projects/upscale-a-video/ 分享至 投诉或建议 评论1 赞与转发 9 0 6 1...
GitHub: https://github.com/sczhou/Upscale-A-Videot.co/FVuF5sdSzl 视频质量提升: 通过文本提示,用户可以指导模型专注于视频中的某些方面,比如提升特定物体的细节或改善整体的视觉效果。 内容生成和修改:在某些情况下,文本提示可能还用于生成或修改视频内容。例如,如果文本提示描述了某种特定的视觉风格或元素...
New issue Error: 'video2x.upscale(input_file, output_file' & 'get basic video information' #1111 Open imjakedeason opened this issue May 19, 2024· 0 comments Commentsimjakedeason commented May 19, 2024 Killing existing Xorg process 2024-05-19 10:27:09.575 | INFO | video2x.video2x...
开源地址:https://github.com/sczhou/Upscale-A-Video 项目地址:https://shangchenzhou.com/projects/upscale-a-video/ Upscale-A-Video主要借鉴了图像模型中的扩散方法,设计了一种无需大规模训练即可快速迁移的框架。 该框架融合了局部和全局两种策略来维持时间的一致性。局部层,模型通过3D 卷积和时序注意力层增强...
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