Zobrazeno 1 - 10
of 12 965
pro vyhledávání: '"View dependent"'
Recently, the 3D Gaussian Splatting (3D-GS) method has achieved great success in novel view synthesis, providing real-time rendering while ensuring high-quality rendering results. However, this method faces challenges in modeling specular reflections
Externí odkaz:
http://arxiv.org/abs/2409.05868
State-of-the-art neural implicit surface representations have achieved impressive results in indoor scene reconstruction by incorporating monocular geometric priors as additional supervision. However, we have observed that multi-view inconsistency be
Externí odkaz:
http://arxiv.org/abs/2405.00340
Autor:
Verbin, Dor, Srinivasan, Pratul P., Hedman, Peter, Mildenhall, Ben, Attal, Benjamin, Szeliski, Richard, Barron, Jonathan T.
Neural Radiance Fields (NeRFs) typically struggle to reconstruct and render highly specular objects, whose appearance varies quickly with changes in viewpoint. Recent works have improved NeRF's ability to render detailed specular appearance of distan
Externí odkaz:
http://arxiv.org/abs/2405.14871
Autor:
Wu, Liwen, Bi, Sai, Xu, Zexiang, Luan, Fujun, Zhang, Kai, Georgiev, Iliyan, Sunkavalli, Kalyan, Ramamoorthi, Ravi
Novel-view synthesis of specular objects like shiny metals or glossy paints remains a significant challenge. Not only the glossy appearance but also global illumination effects, including reflections of other objects in the environment, are critical
Externí odkaz:
http://arxiv.org/abs/2405.14847
Autor:
Yang, Ziyi, Gao, Xinyu, Sun, Yangtian, Huang, Yihua, Lyu, Xiaoyang, Zhou, Wen, Jiao, Shaohui, Qi, Xiaojuan, Jin, Xiaogang
The recent advancements in 3D Gaussian splatting (3D-GS) have not only facilitated real-time rendering through modern GPU rasterization pipelines but have also attained state-of-the-art rendering quality. Nevertheless, despite its exceptional renderi
Externí odkaz:
http://arxiv.org/abs/2402.15870
In this paper, we firstly consider view-dependent effects into single image-based novel view synthesis (NVS) problems. For this, we propose to exploit the camera motion priors in NVS to model view-dependent appearance or effects (VDE) as the negative
Externí odkaz:
http://arxiv.org/abs/2312.08071
Procedural synthetic data generation has received increasing attention in computer vision. Procedural signed distance functions (SDFs) are a powerful tool for modeling large-scale detailed scenes, but existing mesh extraction methods have artifacts o
Externí odkaz:
http://arxiv.org/abs/2312.08364
Novel view synthesis has recently made significant progress with the advent of Neural Radiance Fields (NeRF). DietNeRF is an extension of NeRF that aims to achieve this task from only a few images by introducing a new loss function for unknown viewpo
Externí odkaz:
http://arxiv.org/abs/2310.13670
Publikováno v:
ACM Transactions on Graphics (ToG) 42,6 (2023) 1-9
In recent years, novel view synthesis from a single image has seen significant progress thanks to the rapid advancements in 3D scene representation and image inpainting techniques. While the current approaches are able to synthesize geometrically con
Externí odkaz:
http://arxiv.org/abs/2309.10689
As tractography datasets continue to grow in size, there is a need for improved visualization methods that can capture structural patterns occurring in large tractography datasets. Transparency is an increasingly important aspect of finding these pat
Externí odkaz:
http://arxiv.org/abs/2308.08436