38 citations · 97 across the 5 of their papers we have counts for
5 papers
End-to-end Alternating Optimization for Real-World Blind Super Resolution
Zhengxiong Luo, Yan Huang, Shang Li +2
Blind Super-Resolution (SR) usually involves two sub-problems: 1) estimating the degradation of the given low-resolution (LR) image; 2) super-resolving the LR image to its high-res…
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation
Zhengxiong Luo, Dayou Chen, Yingya Zhang +6
A diffusion probabilistic model (DPM), which constructs a forward diffusion process by gradually adding noise to data points and learns the reverse denoising process to generate ne…
Learning the Degradation Distribution for Blind Image Super-Resolution
Zhengxiong Luo, Yan Huang, Shang Li +2
Synthetic high-resolution (HR) \& low-resolution (LR) pairs are widely used in existing super-resolution (SR) methods. To avoid the domain gap between synthetic and test images, mo…
Approaching the Limit of Image Rescaling via Flow Guidance
Shang Li, Guixuan Zhang, Zhengxiong Luo +3
Image downscaling and upscaling are two basic rescaling operations. Once the image is downscaled, it is difficult to be reconstructed via upscaling due to the loss of information.…
Adaptive Dilated Convolution For Human Pose Estimation
Zhengxiong Luo, Zhicheng Wang, Yan Huang +3
Most existing human pose estimation (HPE) methods exploit multi-scale information by fusing feature maps of four different spatial sizes, \ie , , , and of th…