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pro vyhledávání: '"Hetang, Congrui"'
We present EucliDreamer, a simple and effective method to generate textures for 3D models given text prompts and meshes. The texture is parametrized as an implicit function on the 3D surface, which is optimized with the Score Distillation Sampling (S
Externí odkaz:
http://arxiv.org/abs/2404.10279
We propose SAM-Road, an adaptation of the Segment Anything Model (SAM) for extracting large-scale, vectorized road network graphs from satellite imagery. To predict graph geometry, we formulate it as a dense semantic segmentation task, leveraging the
Externí odkaz:
http://arxiv.org/abs/2403.16051
This paper presents a novel method to generate textures for 3D models given text prompts and 3D meshes. Additional depth information is taken into account to perform the Score Distillation Sampling (SDS) process with depth conditional Stable Diffusio
Externí odkaz:
http://arxiv.org/abs/2311.15573
Autor:
Hetang, Congrui, Wang, Yuping
In this paper, we propose an approach for synthesizing novel view images from a single RGBD (Red Green Blue-Depth) input. Novel view synthesis (NVS) is an interesting computer vision task with extensive applications. Methods using multiple images has
Externí odkaz:
http://arxiv.org/abs/2311.01065
Publikováno v:
In High-Confidence Computing June 2024 4(2)
Autor:
He, Yihui, Qian, Jianing, Wang, Jianren, Le, Cindy X., Hetang, Congrui, Lyu, Qi, Wang, Wenping, Yue, Tianwei
Very deep convolutional neural networks (CNNs) have been firmly established as the primary methods for many computer vision tasks. However, most state-of-the-art CNNs are large, which results in high inference latency. Recently, depth-wise separable
Externí odkaz:
http://arxiv.org/abs/1910.09455
Video object detection is more challenging compared to image object detection. Previous works proved that applying object detector frame by frame is not only slow but also inaccurate. Visual clues get weakened by defocus and motion blur, causing fail
Externí odkaz:
http://arxiv.org/abs/1712.05896
One of the major restrictions on the performance of video-based person re-id is partial noise caused by occlusion, blur and illumination. Since different spatial regions of a single frame have various quality, and the quality of the same region also
Externí odkaz:
http://arxiv.org/abs/1711.08766
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