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Ruoyufeng Fishnotfish Github

Ruoyufeng Fishnotfish Github
Ruoyufeng Fishnotfish Github

Ruoyufeng Fishnotfish Github Fishnotfish ruoyufeng from chongqing, china. loving hot pot. email: [email protected]. Computer vision, image video compression, text to image video generation.

Github Ruoyufeng Ccedit Github Io
Github Ruoyufeng Ccedit Github Io

Github Ruoyufeng Ccedit Github Io Welcome to ruoyu feng's personal website where i share my basic information, publications, and thoughts. [2024 11] code and pre trained models released. this repository contains the official implementation of diff icmh, a novel image compression framework that harmonizes machine and human vision using generative priors. our method achieves state of the art performance in both perceptual quality and machine task compatibility. Ccedit: creative and controllable video editing via diffusion models ruoyufeng ccedit. This is ruoyu feng, a ph.d. candidate in moe microsoft key laboratory of multimedia computing and communication, university of science and technology of china (ustc), supervised by zhibo chen. i am expected to receive my phd degree in june 2025.

Fishyet Github
Fishyet Github

Fishyet Github Ccedit: creative and controllable video editing via diffusion models ruoyufeng ccedit. This is ruoyu feng, a ph.d. candidate in moe microsoft key laboratory of multimedia computing and communication, university of science and technology of china (ustc), supervised by zhibo chen. i am expected to receive my phd degree in june 2025. Recent activity updated a model 25 minutes ago ruoyufeng diffeic models liked a model 21 days ago lllyasviel control v11f1e sd15 tile liked a model 21 days ago stabilityai stable diffusion 3.5 large controlnet blur view all activity. Harmonizing semantic and texture modeling with asynchronous latent diffusion, accepted by cvpr 2026. harmonizing machine and human vision in image compression using generative priors from diffusion models. enhanced video inpainting method using homography propagation and diffusion models. By decouple the video editing process into video consistency maintaining, structure preserving, and appearance editing, ccedit can achieve high fidelity video editing results. illustration of our overall framework. structure and appearance information in the target video are modulated independently, and seamlessly integrated into the main branch. Contact github support about this user’s behavior. learn more about reporting abuse. report abuse.

Fishcpy 咬一口的鱼py Github
Fishcpy 咬一口的鱼py Github

Fishcpy 咬一口的鱼py Github Recent activity updated a model 25 minutes ago ruoyufeng diffeic models liked a model 21 days ago lllyasviel control v11f1e sd15 tile liked a model 21 days ago stabilityai stable diffusion 3.5 large controlnet blur view all activity. Harmonizing semantic and texture modeling with asynchronous latent diffusion, accepted by cvpr 2026. harmonizing machine and human vision in image compression using generative priors from diffusion models. enhanced video inpainting method using homography propagation and diffusion models. By decouple the video editing process into video consistency maintaining, structure preserving, and appearance editing, ccedit can achieve high fidelity video editing results. illustration of our overall framework. structure and appearance information in the target video are modulated independently, and seamlessly integrated into the main branch. Contact github support about this user’s behavior. learn more about reporting abuse. report abuse.

Ruoyufeng Fishnotfish
Ruoyufeng Fishnotfish

Ruoyufeng Fishnotfish By decouple the video editing process into video consistency maintaining, structure preserving, and appearance editing, ccedit can achieve high fidelity video editing results. illustration of our overall framework. structure and appearance information in the target video are modulated independently, and seamlessly integrated into the main branch. Contact github support about this user’s behavior. learn more about reporting abuse. report abuse.

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