no code implementations • 20 Nov 2023 • Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Oztireli
We propose FrePolad: frequency-rectified point latent diffusion, a point cloud generation pipeline integrating a variational autoencoder (VAE) with a denoising diffusion probabilistic model (DDPM) for the latent distribution.
no code implementations • 24 Mar 2023 • Hanxue Liang, Tianhao Wu, Param Hanji, Francesco Banterle, Hongyun Gao, Rafal Mantiuk, Cengiz Oztireli
We measured the quality of videos synthesized by several NVS methods in a well-controlled perceptual quality assessment experiment as well as with many existing state-of-the-art image/video quality metrics.
1 code implementation • CVPR 2019 • Hongyun Gao, Xin Tao, Xiaoyong Shen, Jiaya Jia
Comprehensive experimental results show that our parameter selective sharing scheme, nested skip connection structure, and the new dataset are all significant to set a new state-of-the-art in dynamic scene deblurring.
Ranked #29 on Image Deblurring on GoPro (using extra training data)
4 code implementations • CVPR 2018 • Xin Tao, Hongyun Gao, Yi Wang, Xiaoyong Shen, Jue Wang, Jiaya Jia
In single image deblurring, the "coarse-to-fine" scheme, i. e. gradually restoring the sharp image on different resolutions in a pyramid, is very successful in both traditional optimization-based methods and recent neural-network-based approaches.
Ranked #3 on Image Deblurring on GoPro (Params (M) metric, using extra training data)
1 code implementation • ICCV 2017 • Xin Tao, Hongyun Gao, Renjie Liao, Jue Wang, Jiaya Jia
In this paper, we show that proper frame alignment and motion compensation is crucial for achieving high quality results.
Ranked #11 on Video Super-Resolution on Vid4 - 4x upscaling
no code implementations • ICCV 2017 • Xiaoyong Shen, Hongyun Gao, Xin Tao, Chao Zhou, Jiaya Jia
Estimating correspondence between two images and extracting the foreground object are two challenges in computer vision.