2 citations · 4 across the 5 of their papers we have counts for
5 papers · 1 filter
Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation
Yiyang Ma, Huan Yang, Wenjing Wang +2
Language-guided image generation has achieved great success nowadays by using diffusion models. However, texts can be less detailed to describe highly-specific subjects such as a p…
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution
Zhongwei Qiu, Huan Yang, Jianlong Fu +1
Compressed video super-resolution (VSR) aims to restore high-resolution frames from compressed low-resolution counterparts. Most recent VSR approaches often enhance an input frame…
Online Video Super-Resolution with Convolutional Kernel Bypass Graft
Jun Xiao, Xinyang Jiang, Ningxin Zheng +5
Deep learning-based models have achieved remarkable performance in video super-resolution (VSR) in recent years, but most of these models are less applicable to online video applic…
TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation
Chengxu Liu, Huan Yang, Jianlong Fu +1
Video frame interpolation (VFI) aims to synthesize an intermediate frame between two consecutive frames. State-of-the-art approaches usually adopt a two-step solution, which includ…
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution
Fuzhi Yang, Huan Yang, Yanhong Zeng +2
Blind super-resolution (SR) aims to recover high-quality visual textures from a low-resolution (LR) image, which is usually degraded by down-sampling blur kernels and additive nois…