Zobrazeno 1 - 10
of 2 495
pro vyhledávání: '"LIU, Jiaming"'
Autor:
Zheng, Qi, Wang, Haozhi, Liu, Zihao, Liu, Jiaming, Liu, Peiye, Hao, Zhijian, Lu, Yanheng, Niu, Dimin, Zhou, Jinjia, Jing, Minge, Fan, Yibo
Prevalent lossy image compression schemes can be divided into: 1) explicit image compression (EIC), including traditional standards and neural end-to-end algorithms; 2) implicit image compression (IIC) based on implicit neural representations (INR).
Externí odkaz:
http://arxiv.org/abs/2412.08210
Autor:
Song, Yiren, Lou, Shengtao, Liu, Xiaokang, Ci, Hai, Yang, Pei, Liu, Jiaming, Shou, Mike Zheng
Diffusion models have revolutionized generative modeling with their exceptional ability to produce high-fidelity images. However, misuse of such potent tools can lead to the creation of fake news or disturbing content targeting individuals, resulting
Externí odkaz:
http://arxiv.org/abs/2412.05980
Autor:
Zheng, Qi, Fan, Yibo, Huang, Leilei, Zhu, Tianyu, Liu, Jiaming, Hao, Zhijian, Xing, Shuo, Chen, Chia-Ju, Min, Xiongkuo, Bovik, Alan C., Tu, Zhengzhong
Video quality assessment (VQA) is an important processing task, aiming at predicting the quality of videos in a manner highly consistent with human judgments of perceived quality. Traditional VQA models based on natural image and/or video statistics,
Externí odkaz:
http://arxiv.org/abs/2412.04508
The Taurus region is one of the most extensively studied star-forming regions. Surveys indicate that the young stars in this region are comprised of Young Stellar Objects (YSOs) that cluster in groups associated with the molecular cloud (Grouped Youn
Externí odkaz:
http://arxiv.org/abs/2412.02456
Visual text images are prevalent in various applications, requiring careful font selection and typographic choices. Recent advances in Diffusion Transformer (DiT)-based text-to-image (T2I) models show promise in automating these processes. However, t
Externí odkaz:
http://arxiv.org/abs/2412.00136
Autor:
Jia, Yueru, Liu, Jiaming, Chen, Sixiang, Gu, Chenyang, Wang, Zhilue, Luo, Longzan, Lee, Lily, Wang, Pengwei, Wang, Zhongyuan, Zhang, Renrui, Zhang, Shanghang
3D geometric information is essential for manipulation tasks, as robots need to perceive the 3D environment, reason about spatial relationships, and interact with intricate spatial configurations. Recent research has increasingly focused on the expli
Externí odkaz:
http://arxiv.org/abs/2411.18623
Restoring images captured under adverse weather conditions is a fundamental task for many computer vision applications. However, most existing weather restoration approaches are only capable of handling a specific type of degradation, which is often
Externí odkaz:
http://arxiv.org/abs/2411.17226
Autor:
Zeng, Bohan, Yang, Ling, Li, Siyu, Liu, Jiaming, Zhang, Zixiang, Tian, Juanxi, Zhu, Kaixin, Guo, Yongzhen, Wang, Fu-Yun, Xu, Minkai, Ermon, Stefano, Zhang, Wentao
Recent advances in diffusion models have demonstrated exceptional capabilities in image and video generation, further improving the effectiveness of 4D synthesis. Existing 4D generation methods can generate high-quality 4D objects or scenes based on
Externí odkaz:
http://arxiv.org/abs/2410.07155
Autor:
Liu, Jiaming, Kong, Linghe, Wu, Yue, Gong, Maoguo, Li, Hao, Miao, Qiguang, Ma, Wenping, Qin, Can
Existing 3D mask learning methods encounter performance bottlenecks under limited data, and our objective is to overcome this limitation. In this paper, we introduce a triple point masking scheme, named TPM, which serves as a scalable framework for p
Externí odkaz:
http://arxiv.org/abs/2409.17547
The dynamic nature of open-world scenarios has attracted more attention to class incremental learning (CIL). However, existing CIL methods typically presume the availability of complete ground-truth labels throughout the training process, an assumpti
Externí odkaz:
http://arxiv.org/abs/2408.10046