14 citations · 28 across the 5 of their papers we have counts for
8 papers
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…
The Image Local Autoregressive Transformer
Chenjie Cao, Yuxin Hong, Xiang Li +4
Recently, AutoRegressive (AR) models for the whole image generation empowered by transformers have achieved comparable or even better performance to Generative Adversarial Networks…
Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes
Chenjie Cao, Yanwei Fu
This paper studies the task of inpainting man-made scenes. It is very challenging due to the difficulty in preserving the visual patterns of images, such as edges, lines, and junct…
CLUE: A Chinese Language Understanding Evaluation Benchmark
Liang Xu, Hai Hu, Xuanwei Zhang +29
The advent of natural language understanding (NLU) benchmarks for English, such as GLUE and SuperGLUE allows new NLU models to be evaluated across a diverse set of tasks. These com…
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition
Wenxuan Wang, Yanwei Fu, Qiang Sun +7
Affective computing and cognitive theory are widely used in modern human-computer interaction scenarios. Human faces, as the most prominent and easily accessible features, have att…