32 citations · 44 across the 22 of their papers we have counts for
5 papers · 2 filters
GenDeF: Learning Generative Deformation Field for Video Generation
Wen Wang, Kecheng Zheng, Qiuyu Wang +5
We offer a new perspective on approaching the task of video generation. Instead of directly synthesizing a sequence of frames, we propose to render a video by warping one static im…
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort
Wen Wang, Canyu Zhao, Hao Chen +3
Story visualization aims to generate a series of images that match the story described in texts, and it requires the generated images to satisfy high quality, alignment with the te…
Object-aware Inversion and Reassembly for Image Editing
Zhen Yang, Ganggui Ding, Wen Wang +3
By comparing the original and target prompts, we can obtain numerous editing pairs, each comprising an object and its corresponding editing target. To allow editability while maint…
RGM: A Robust Generalizable Matching Model
Songyan Zhang, Xinyu Sun, Hao Chen +2
Finding corresponding pixels within a pair of images is a fundamental computer vision task with various applications. Due to the specific requirements of different tasks like optic…
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
Weijia Wu, Yuzhong Zhao, Hao Chen +6
Current deep networks are very data-hungry and benefit from training on largescale datasets, which are often time-consuming to collect and annotate. By contrast, synthetic data can…