62 citations · 173 across the 23 of their papers we have counts for
6 papers · 1 filter
ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors
Chenjie Cao, Qiaole Dong, Yanwei Fu
Image inpainting involves filling missing areas of a corrupted image. Despite impressive results have been achieved recently, restoring images with both vivid textures and reasonab…
MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth
Chenjie Cao, Xinlin Ren, Yanwei Fu
Feature representation learning is the key recipe for learning-based Multi-View Stereo (MVS). As the common feature extractor of learning-based MVS, vanilla Feature Pyramid Network…
Learning Prior Feature and Attention Enhanced Image Inpainting
Chenjie Cao, Qiaole Dong, Yanwei Fu
Many recent inpainting works have achieved impressive results by leveraging Deep Neural Networks (DNNs) to model various prior information for image restoration. Unfortunately, the…
Wavelet Prior Attention Learning in Axial Inpainting Network
Chenjie Cao, Chengrong Wang, Yuntao Zhang +1
Image inpainting is the task of filling masked or unknown regions of an image with visually realistic contents, which has been remarkably improved by Deep Neural Networks (DNNs) re…
Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images
Chao Wen, Yinda Zhang, Chenjie Cao +3
We study the problem of shape generation in 3D mesh representation from a small number of color images with or without camera poses. While many previous works learn to hallucinate…
Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding
Qiaole Dong, Chenjie Cao, Yanwei Fu
Image inpainting has made significant advances in recent years. However, it is still challenging to recover corrupted images with both vivid textures and reasonable structures. Som…