Zobrazeno 1 - 10
of 3 145
pro vyhledávání: '"Wang, Zeyu"'
Human Mesh Recovery (HMR) is an important yet challenging problem with applications across various domains including motion capture, augmented reality, and biomechanics. Accurately predicting human pose parameters from a single image remains a challe
Externí odkaz:
http://arxiv.org/abs/2411.11214
Despite recent advances in UNet-based image editing, methods for shape-aware object editing in high-resolution images are still lacking. Compared to UNet, Diffusion Transformers (DiT) demonstrate superior capabilities to effectively capture the long-
Externí odkaz:
http://arxiv.org/abs/2411.03286
Autor:
Dai, Weichen, Chen, Yezeng, Dai, Zijie, Huang, Zhijie, Liu, Yubo, Pan, Yixuan, Song, Baiyang, Zhong, Chengli, Li, Xinhe, Wang, Zeyu, Feng, Zhuoying, Zhou, Yi
Artificial intelligence is gradually demonstrating its immense potential, and increasing attention is being given to how AI can be harnessed to advance scientific research. In this vision paper, we present our perspectives on how AI can better assist
Externí odkaz:
http://arxiv.org/abs/2409.18695
Recent years have witnessed tremendous progress in the 3D reconstruction of dynamic humans from a monocular video with the advent of neural rendering techniques. This task has a wide range of applications, including the creation of virtual characters
Externí odkaz:
http://arxiv.org/abs/2409.14103
Autor:
Meng, Mark Huasong, Yan, Chuan, Hao, Yun, Zhang, Qing, Wang, Zeyu, Wang, Kailong, Teo, Sin Gee, Bai, Guangdong, Dong, Jin Song
Third-party Software Development Kits (SDKs) are widely adopted in Android app development, to effortlessly accelerate development pipelines and enhance app functionality. However, this convenience raises substantial concerns about unauthorized acces
Externí odkaz:
http://arxiv.org/abs/2409.10411
Autor:
Cai, Zeyu, Wang, Duotun, Liang, Yixun, Shao, Zhijing, Chen, Ying-Cong, Zhan, Xiaohang, Wang, Zeyu
Score Distillation Sampling (SDS) has emerged as a prevalent technique for text-to-3D generation, enabling 3D content creation by distilling view-dependent information from text-to-2D guidance. However, they frequently exhibit shortcomings such as ov
Externí odkaz:
http://arxiv.org/abs/2409.05099
Autor:
Chen, Yiran, Rao, Anyi, Jiang, Xuekun, Xiao, Shishi, Ma, Ruiqing, Wang, Zeyu, Xiong, Hui, Dai, Bo
With advancements in video generative AI models (e.g., SORA), creators are increasingly using these techniques to enhance video previsualization. However, they face challenges with incomplete and mismatched AI workflows. Existing methods mainly rely
Externí odkaz:
http://arxiv.org/abs/2408.17424
The Diffusion Transformers Models (DiTs) have transitioned the network architecture from traditional UNets to transformers, demonstrating exceptional capabilities in image generation. Although DiTs have been widely applied to high-definition video ge
Externí odkaz:
http://arxiv.org/abs/2408.17131
Graph-based indexes have been widely employed to accelerate approximate similarity search of high-dimensional vectors. However, the performance of graph indexes to answer different queries varies vastly, leading to an unstable quality of service for
Externí odkaz:
http://arxiv.org/abs/2408.13899
Recent advancements in Distributional Reinforcement Learning (DRL) for modeling loss distributions have shown promise in developing hedging strategies in derivatives markets. A common approach in DRL involves learning the quantiles of loss distributi
Externí odkaz:
http://arxiv.org/abs/2408.12446