Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Han-WenCheng"'
Recent advancements in sRGB-to-RAW de-rendering have increasingly emphasized metadata-driven approaches to reconstruct RAW data from sRGB images, supplemented by partial RAW information. In image-based de-rendering, metadata is commonly obtained thro
Externí odkaz:
http://arxiv.org/abs/2411.11717
Autor:
Yan, Tianyi, Wu, Dongming, Han, Wencheng, Jiang, Junpeng, Zhou, Xia, Zhan, Kun, Xu, Cheng-zhong, Shen, Jianbing
Autonomous driving evaluation requires simulation environments that closely replicate actual road conditions, including real-world sensory data and responsive feedback loops. However, many existing simulations need to predict waypoints along fixed ro
Externí odkaz:
http://arxiv.org/abs/2411.11252
Recent diffusion-based Single-image 3D portrait generation methods typically employ 2D diffusion models to provide multi-view knowledge, which is then distilled into 3D representations. However, these methods usually struggle to produce high-fidelity
Externí odkaz:
http://arxiv.org/abs/2411.10369
Autor:
Chen, Dubing, Fang, Jin, Han, Wencheng, Cheng, Xinjing, Yin, Junbo, Xu, Chenzhong, Khan, Fahad Shahbaz, Shen, Jianbing
Vision-based semantic occupancy and flow prediction plays a crucial role in providing spatiotemporal cues for real-world tasks, such as autonomous driving. Existing methods prioritize higher accuracy to cater to the demands of these tasks. In this wo
Externí odkaz:
http://arxiv.org/abs/2411.07725
Recovering high-quality depth maps from compressed sources has gained significant attention due to the limitations of consumer-grade depth cameras and the bandwidth restrictions during data transmission. However, current methods still suffer from two
Externí odkaz:
http://arxiv.org/abs/2411.03239
Autor:
Han, Wencheng, Shen, Jianbing
In the area of self-supervised monocular depth estimation, models that utilize rich-resource inputs, such as high-resolution and multi-frame inputs, typically achieve better performance than models that use ordinary single image input. However, these
Externí odkaz:
http://arxiv.org/abs/2408.00361
Concurrent processing of multiple autonomous driving 3D perception tasks within the same spatiotemporal scene poses a significant challenge, in particular due to the computational inefficiencies and feature competition between tasks when using tradit
Externí odkaz:
http://arxiv.org/abs/2407.10876
In this technical report, we present our solution for the Vision-Centric 3D Occupancy and Flow Prediction track in the nuScenes Open-Occ Dataset Challenge at CVPR 2024. Our innovative approach involves a dual-stage framework that enhances 3D occupanc
Externí odkaz:
http://arxiv.org/abs/2407.01436
Referring multi-object tracking (RMOT) aims at detecting and tracking multiple objects following human instruction represented by a natural language expression. Existing RMOT benchmarks are usually formulated through manual annotations, integrated wi
Externí odkaz:
http://arxiv.org/abs/2406.05039
In the field of autonomous driving, two important features of autonomous driving car systems are the explainability of decision logic and the accuracy of environmental perception. This paper introduces DME-Driver, a new autonomous driving system that
Externí odkaz:
http://arxiv.org/abs/2401.03641