activity
20192022
most citedPIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

10 citations · 15 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Deep Geometry Post-Processing for Decompressed Point Clouds

Xiaoqing Fan, Ge Li, Dingquan Li +3

Point cloud compression plays a crucial role in reducing the huge cost of data storage and transmission. However, distortions can be introduced into the decompressed point clouds d…

cs.CV20224 cited

Neural Texture Extraction and Distribution for Controllable Person Image Synthesis

Yurui Ren, Xiaoqing Fan, Ge Li +2

We deal with the controllable person image synthesis task which aims to re-render a human from a reference image with explicit control over body pose and appearance. Observing that…

cs.CV202110 cited

PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering

Yurui Ren, Ge Li, Yuanqi Chen +2

Generating portrait images by controlling the motions of existing faces is an important task of great consequence to social media industries. For easy use and intuitive control, se…

cs.CV20211 cited

Combining Attention with Flow for Person Image Synthesis

Yurui Ren, Yubo Wu, Thomas H. Li +2

Pose-guided person image synthesis aims to synthesize person images by transforming reference images into target poses. In this paper, we observe that the commonly used spatial tra…

cs.CV2020

Deep Image Spatial Transformation for Person Image Generation

Yurui Ren, Xiaoming Yu, Junming Chen +2

Pose-guided person image generation is to transform a source person image to a target pose. This task requires spatial manipulations of source data. However, Convolutional Neural N…

cs.CV2019

StructureFlow: Image Inpainting via Structure-aware Appearance Flow

Yurui Ren, Xiaoming Yu, Ruonan Zhang +3

Image inpainting techniques have shown significant improvements by using deep neural networks recently. However, most of them may either fail to reconstruct reasonable structures o…