Search Results for author: Chenyang Qi

Found 12 papers, 9 papers with code

TIP: Text-Driven Image Processing with Semantic and Restoration Instructions

no code implementations18 Dec 2023 Chenyang Qi, Zhengzhong Tu, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Qifeng Chen, Hossein Talebi

Text-driven diffusion models have become increasingly popular for various image editing tasks, including inpainting, stylization, and object replacement.

Deblurring Denoising +2

AnimateZero: Video Diffusion Models are Zero-Shot Image Animators

1 code implementation6 Dec 2023 Jiwen Yu, Xiaodong Cun, Chenyang Qi, Yong Zhang, Xintao Wang, Ying Shan, Jian Zhang

For appearance control, we borrow intermediate latents and their features from the text-to-image (T2I) generation for ensuring the generated first frame is equal to the given generated image.

Image Animation Video Generation

MagicStick: Controllable Video Editing via Control Handle Transformations

1 code implementation5 Dec 2023 Yue Ma, Xiaodong Cun, Yingqing He, Chenyang Qi, Xintao Wang, Ying Shan, Xiu Li, Qifeng Chen

Yet succinct, our method is the first method to show the ability of video property editing from the pre-trained text-to-image model.

Video Editing Video Generation

Inserting Anybody in Diffusion Models via Celeb Basis

1 code implementation NeurIPS 2023 Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng

Empowered by the proposed celeb basis, the new identity in our customized model showcases a better concept combination ability than previous personalization methods.

Real-time Streaming Video Denoising with Bidirectional Buffers

1 code implementation14 Jul 2022 Chenyang Qi, Junming Chen, Xin Yang, Qifeng Chen

Recent multi-output inference works propagate the bidirectional temporal feature with a parallel or recurrent framework, which either suffers from performance drops on the temporal edges of clips or can not achieve online inference.

Denoising Video Denoising

Shape from Polarization for Complex Scenes in the Wild

1 code implementation CVPR 2022 Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen

We present a new data-driven approach with physics-based priors to scene-level normal estimation from a single polarization image.

A Categorized Reflection Removal Dataset with Diverse Real-world Scenes

no code implementations7 Aug 2021 Chenyang Lei, Xuhua Huang, Chenyang Qi, Yankun Zhao, Wenxiu Sun, Qiong Yan, Qifeng Chen

Due to the lack of a large-scale reflection removal dataset with diverse real-world scenes, many existing reflection removal methods are trained on synthetic data plus a small amount of real-world data, which makes it difficult to evaluate the strengths or weaknesses of different reflection removal methods thoroughly.

Reflection Removal

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