Zobrazeno 1 - 10
of 10 822
pro vyhledávání: '"XU, DAN"'
Autor:
Hong, Fa-Ting, Xu, Zhan, Liu, Haiyang, Lin, Qinjie, Song, Luchuan, Shu, Zhixin, Zhou, Yang, Ceylan, Duygu, Xu, Dan
Diffusion-based human animation aims to animate a human character based on a source human image as well as driving signals such as a sequence of poses. Leveraging the generative capacity of diffusion model, existing approaches are able to generate hi
Externí odkaz:
http://arxiv.org/abs/2412.17290
Talking head video generation aims to generate a realistic talking head video that preserves the person's identity from a source image and the motion from a driving video. Despite the promising progress made in the field, it remains a challenging and
Externí odkaz:
http://arxiv.org/abs/2412.00719
In recent years, simultaneous learning of multiple dense prediction tasks with partially annotated label data has emerged as an important research area. Previous works primarily focus on constructing cross-task consistency or conducting adversarial t
Externí odkaz:
http://arxiv.org/abs/2411.18823
Autor:
Mi, Zhenxing, Xu, Dan
In NeRF, a critical problem is to effectively estimate the occupancy to guide empty-space skipping and point sampling. Grid-based methods work well for small-scale scenes. However, on large-scale scenes, they are limited by predefined bounding boxes,
Externí odkaz:
http://arxiv.org/abs/2411.11374
Autor:
Wang, Yuan, Huang, Di, Zhang, Yaqi, Ouyang, Wanli, Jiao, Jile, Feng, Xuetao, Zhou, Yan, Wan, Pengfei, Tang, Shixiang, Xu, Dan
Generating lifelike human motions from descriptive texts has experienced remarkable research focus in the recent years, propelled by the emerging requirements of digital humans.Despite impressive advances, existing approaches are often constrained by
Externí odkaz:
http://arxiv.org/abs/2410.21747
Autor:
Ye, Hanrong, Zhang, Haotian, Daxberger, Erik, Chen, Lin, Lin, Zongyu, Li, Yanghao, Zhang, Bowen, You, Haoxuan, Xu, Dan, Gan, Zhe, Lu, Jiasen, Yang, Yinfei
This research aims to comprehensively explore building a multimodal foundation model for egocentric video understanding. To achieve this goal, we work on three fronts. First, as there is a lack of QA data for egocentric video understanding, we develo
Externí odkaz:
http://arxiv.org/abs/2410.07177
Neural Radiance Fields (NeRF) are widely used for novel-view synthesis and have been adapted for 3D Object Detection (3DOD), offering a promising approach to 3DOD through view-synthesis representation. However, NeRF faces inherent limitations: (i) li
Externí odkaz:
http://arxiv.org/abs/2410.01647
Audio-driven talking head synthesis strives to generate lifelike video portraits from provided audio. The diffusion model, recognized for its superior quality and robust generalization, has been explored for this task. However, establishing a robust
Externí odkaz:
http://arxiv.org/abs/2409.10281
Publikováno v:
Phys. Rev. B 110, 235113 (2024)
A quantum state for being an eigenstate of some local Hamiltonian should be constraint by zero energy variance and consequently, the constraint is rather strong that a single eigenstate may uniquely determine the Hamiltonian. For non-Hermitian system
Externí odkaz:
http://arxiv.org/abs/2408.15781
Autor:
Diab, Momen, Cheriton, Ross, Taylor, Jacob, Patel, Dhwanil, Rojas, Libertad, Barnet, Mark, Zavyalova, Polina, Xu, Dan-Xia, Cheben, Pavel, Janz, Siegfried, Schmid, Jens H., Sivanandam, Suresh
In ground-based astronomy, the ability to couple light into single-mode fibers (SMFs) is limited by atmospheric turbulence, which prohibits the use of many astrophotonic instruments. We propose a silicon-on-insulator photonic chip capable of coherent
Externí odkaz:
http://arxiv.org/abs/2408.07735