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Aug 3, 2024 · This paper tackles the problem of depth estimation from a single image. Existing work either focuses on gener- alization performance disregarding metric ...
Jul 17, 2024 · The paper presents EDUS, a generalizable and efficient method for sparse urban view synthesis. By integrating geometric priors into a generalizable model, we ...
Jul 29, 2024 · In this paper, we propose a novel multi-scale depth normalization method that hierarchically normalizes the depth representations based on spatial information ...
Aug 1, 2024 · We present a new approach, termed GPS-Gaussian, for synthesizing novel views of a character in a real-time manner. The proposed method enables 2K-resolution ...
4 days ago · Adaptive combined matching cost for depth map estimation. WACV 2010 ... This article presents a disparity map algorithm to improve the depth map estimation based ...
Aug 7, 2024 · Second, we propose a new instance normalization method that is robust to the variation in foreground-background ratios. ... Ranked #21 on Monocular Depth ...
Aug 1, 2024 · MonoRCNN [25] enhances 3D object detection by decomposing object distance into physical height and projected 2D height, modeling their joint probability ...
8 days ago · The main objective is to transform a source image to match a given target pose. This estimation is guided by the location of the sample in the target pose, ...
6 days ago · As the module's task is to improve the visibility and consistency of the image features, it would consequentially also support the depth estimation process, by ...
Aug 8, 2024 · We propose a robust and fast bundle adjustment solution that estimates the 6-DoF pose of the camera and the geometry of the environment based on measurements ...