19 citations · 63 across the 8 of their papers we have counts for
8 papers
A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting
Junhao Zhuang, Yanhong Zeng, Wenran Liu +2
Advancing image inpainting is challenging as it requires filling user-specified regions for various intents, such as background filling and object synthesis. Existing approaches fo…
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…
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
Yanhong Zeng, Huan Yang, Hongyang Chao +2
We present a new perspective of achieving image synthesis by viewing this task as a visual token generation problem. Different from existing paradigms that directly synthesize a fu…
Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
Hongwei Xue, Tiankai Hang, Yanhong Zeng +5
We study joint video and language (VL) pre-training to enable cross-modality learning and benefit plentiful downstream VL tasks. Existing works either extract low-quality video fea…
3D Human Body Reshaping with Anthropometric Modeling
Yanhong Zeng, Jianlong Fu, Hongyang Chao
Reshaping accurate and realistic 3D human bodies from anthropometric parameters (e.g., height, chest size, etc.) poses a fundamental challenge for person identification, online sho…
Aggregated Contextual Transformations for High-Resolution Image Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao +1
State-of-the-art image inpainting approaches can suffer from generating distorted structures and blurry textures in high-resolution images (e.g., 512x512). The challenges mainly dr…
Learning Joint Spatial-Temporal Transformations for Video Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao
High-quality video inpainting that completes missing regions in video frames is a promising yet challenging task. State-of-the-art approaches adopt attention models to complete a f…
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
Yanhong Zeng, Jianlong Fu, Hongyang Chao +1
High-quality image inpainting requires filling missing regions in a damaged image with plausible content. Existing works either fill the regions by copying image patches or generat…