Zobrazeno 1 - 10
of 34 577
pro vyhledávání: '"Camera motion"'
Recent advancements in diffusion models have significantly enhanced the quality of video generation. However, fine-grained control over camera pose remains a challenge. While U-Net-based models have shown promising results for camera control, transfo
Externí odkaz:
http://arxiv.org/abs/2410.10802
Autor:
Li, Jiefeng, Yuan, Ye, Rempe, Davis, Zhang, Haotian, Molchanov, Pavlo, Lu, Cewu, Kautz, Jan, Iqbal, Umar
Estimating global human motion from moving cameras is challenging due to the entanglement of human and camera motions. To mitigate the ambiguity, existing methods leverage learned human motion priors, which however often result in oversmoothed motion
Externí odkaz:
http://arxiv.org/abs/2408.16426
Reconstructing the 3D shape of a deformable environment from the information captured by a moving depth camera is highly relevant to surgery. The underlying challenge is the fact that simultaneously estimating camera motion and tissue deformation in
Externí odkaz:
http://arxiv.org/abs/2408.04367
Accurate camera motion estimation is critical to estimate human motion in the global space. A standard and widely used method for estimating camera motion is Simultaneous Localization and Mapping (SLAM). However, SLAM only provides a trajectory up to
Externí odkaz:
http://arxiv.org/abs/2407.00574
Novel View Synthesis plays a crucial role by generating new 2D renderings from multi-view images of 3D scenes. However, capturing high-speed scenes with conventional cameras often leads to motion blur, hindering the effectiveness of 3D reconstruction
Externí odkaz:
http://arxiv.org/abs/2407.10062
Autor:
Cerezo, Samuel, Civera, Javier
In this paper, we introduce a novel formulation for camera motion estimation that integrates RGB-D images and inertial data through scene flow. Our goal is to accurately estimate the camera motion in a rigid 3D environment, along with the state of th
Externí odkaz:
http://arxiv.org/abs/2404.17251
Autor:
Hu, Teng, Zhang, Jiangning, Yi, Ran, Wang, Yating, Huang, Hongrui, Weng, Jieyu, Wang, Yabiao, Ma, Lizhuang
The emergence of diffusion models has greatly propelled the progress in image and video generation. Recently, some efforts have been made in controllable video generation, including text-to-video generation and video motion control, among which camer
Externí odkaz:
http://arxiv.org/abs/2404.15789
Although significant progress has been made in reconstructing sharp 3D scenes from motion-blurred images, a transition to real-world applications remains challenging. The primary obstacle stems from the severe blur which leads to inaccuracies in the
Externí odkaz:
http://arxiv.org/abs/2404.11358
Autor:
Seiskari, Otto, Ylilammi, Jerry, Kaatrasalo, Valtteri, Rantalankila, Pekka, Turkulainen, Matias, Kannala, Juho, Rahtu, Esa, Solin, Arno
High-quality scene reconstruction and novel view synthesis based on Gaussian Splatting (3DGS) typically require steady, high-quality photographs, often impractical to capture with handheld cameras. We present a method that adapts to camera motion and
Externí odkaz:
http://arxiv.org/abs/2403.13327
Autor:
Zeng, Guangyang, Zeng, Qingcheng, Li, Xinghan, Mu, Biqiang, Chen, Jiming, Shi, Ling, Wu, Junfeng
Given 2D point correspondences between an image pair, inferring the camera motion is a fundamental issue in the computer vision community. The existing works generally set out from the epipolar constraint and estimate the essential matrix, which is n
Externí odkaz:
http://arxiv.org/abs/2403.01174