128 citations · 932 across the 39 of their papers we have counts for
8 papers · 1 filter
Morphing and Sampling Network for Dense Point Cloud Completion
Minghua Liu, Lu Sheng, Sheng Yang +2
3D point cloud completion, the task of inferring the complete geometric shape from a partial point cloud, has been attracting attention in the community. For acquiring high-fidelit…
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu, Guojun Yin, Jing Shao +2
Semantic image synthesis aims at generating photorealistic images from semantic layouts. Previous approaches with conditional generative adversarial networks (GAN) show state-of-th…
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
Zihao Wang, Xihui Liu, Hongsheng Li +4
Text-image cross-modal retrieval is a challenging task in the field of language and vision. Most previous approaches independently embed images and sentences into a joint embedding…
Semantics Disentangling for Text-to-Image Generation
Guojun Yin, Bin Liu, Lu Sheng +3
Synthesizing photo-realistic images from text descriptions is a challenging problem. Previous studies have shown remarkable progresses on visual quality of the generated images. In…
Context and Attribute Grounded Dense Captioning
Guojun Yin, Lu Sheng, Bin Liu +3
Dense captioning aims at simultaneously localizing semantic regions and describing these regions-of-interest (ROIs) with short phrases or sentences in natural language. Previous st…
Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing
Xihui Liu, Zihao Wang, Jing Shao +2
Referring expression grounding aims at locating certain objects or persons in an image with a referring expression, where the key challenge is to comprehend and align various types…
Video Generation from Single Semantic Label Map
Junting Pan, Chengyu Wang, Xu Jia +4
This paper proposes the novel task of video generation conditioned on a SINGLE semantic label map, which provides a good balance between flexibility and quality in the generation p…
Unsupervised Bi-directional Flow-based Video Generation from one Snapshot
Lu Sheng, Junting Pan, Jiaming Guo +3
Imagining multiple consecutive frames given one single snapshot is challenging, since it is difficult to simultaneously predict diverse motions from a single image and faithfully g…