Zobrazeno 1 - 10
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pro vyhledávání: '"Zhang,Jian"'
Accurately predicting the trajectory of vehicles is critically important for ensuring safety and reliability in autonomous driving. Although considerable research efforts have been made recently, the inherent trajectory uncertainty caused by various
Externí odkaz:
http://arxiv.org/abs/2412.13231
Teleoperation for robot imitation learning is bottlenecked by hardware availability. Can high-quality robot data be collected without a physical robot? We present a system for augmenting Apple Vision Pro with real-time virtual robot feedback. By prov
Externí odkaz:
http://arxiv.org/abs/2412.10631
Autor:
Li, Weiqi, Zhao, Shijie, Mou, Chong, Sheng, Xuhan, Zhang, Zhenyu, Wang, Qian, Li, Junlin, Zhang, Li, Zhang, Jian
As virtual reality gains popularity, the demand for controllable creation of immersive and dynamic omnidirectional videos (ODVs) is increasing. While previous text-to-ODV generation methods achieve impressive results, they struggle with content inacc
Externí odkaz:
http://arxiv.org/abs/2412.09623
RealOSR: Latent Unfolding Boosting Diffusion-based Real-world Omnidirectional Image Super-Resolution
Omnidirectional image super-resolution (ODISR) aims to upscale low-resolution (LR) omnidirectional images (ODIs) to high-resolution (HR), addressing the growing demand for detailed visual content across a $180^{\circ}\times360^{\circ}$ viewport. Exis
Externí odkaz:
http://arxiv.org/abs/2412.09646
Autor:
Chen, Jianyi, Calder, Stuart, Paddison, Joseph A. M., Angelo, Gina, Klivansky, Liana, Zhang, Jian, Cao, Huibo, Gui, Xin
Magnetoplumbites are one of the most broadly studied families of hexagonal ferrites, typically with high magnetic ordering temperatures, making them excellent candidates for permanent magnets. However, magnetic frustration was rarely observed in magn
Externí odkaz:
http://arxiv.org/abs/2412.05944
Dirac nodal line semimetals with topologically protected drumhead surface states have attracted intense theoretical and experimental attention over a decade. However, the study of type-II Dirac nodal line semimetals is rare, especially the type-II no
Externí odkaz:
http://arxiv.org/abs/2412.03972
Autor:
Gao, Qiankun, Wu, Yanmin, Wen, Chengxiang, Meng, Jiarui, Tang, Luyang, Chen, Jie, Wang, Ronggang, Zhang, Jian
Reconstructing dynamic scenes with large-scale and complex motions remains a significant challenge. Recent techniques like Neural Radiance Fields and 3D Gaussian Splatting (3DGS) have shown promise but still struggle with scenes involving substantial
Externí odkaz:
http://arxiv.org/abs/2412.02493
Autor:
Zhang, Xuanyu, Tang, Zecheng, Xu, Zhipei, Li, Runyi, Xu, Youmin, Chen, Bin, Gao, Feng, Zhang, Jian
With the rapid growth of generative AI and its widespread application in image editing, new risks have emerged regarding the authenticity and integrity of digital content. Existing versatile watermarking approaches suffer from trade-offs between tamp
Externí odkaz:
http://arxiv.org/abs/2412.01615
Despite the significant advancements made by Diffusion Transformer (DiT)-based methods in video generation, there remains a notable gap with controllable camera pose perspectives. Existing works such as OpenSora do NOT adhere precisely to anticipated
Externí odkaz:
http://arxiv.org/abs/2412.01429
In the typical data analysis and waveform modelling of the gravitational waves (GWs) signals for binary black holes (BBHs), it's assumed to be isolate sources in the vacuum within the theory of general relativity (GR). However, various kinds of matte
Externí odkaz:
http://arxiv.org/abs/2412.00915