Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Lin, Guosheng"'
OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
The emergence of Neural Radiance Fields (NeRF) for novel view synthesis has led to increased interest in 3D scene editing. One important task in editing is removing objects from a scene while ensuring visual reasonability and multiview consistency. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::644dbb70b21ec6503c47877dfff584cf
Deep neural networks (DNNs) are widely applied for nowadays 3D surface reconstruction tasks and such methods can be further divided into two categories, which respectively warp templates explicitly by moving vertices or represent 3D surfaces implicit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e82f3c361a6ca7dd1a1bd299740d6bb
Autor:
Wang, Yiran, Shi, Min, Li, Jiaqi, Huang, Zihao, Cao, Zhiguo, Zhang, Jianming, Xian, Ke, Lin, Guosheng
Video depth estimation aims to infer temporally consistent depth. Some methods achieve temporal consistency by finetuning a single-image depth model during test time using geometry and re-projection constraints, which is inefficient and not robust. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b775fd6f55bdd47aceed8f9fc4a2769
Autor:
Zhang, Chi, Chen, Yiwen, Fu, Yijun, Zhou, Zhenglin, YU, Gang, Wang, Billzb, Fu, Bin, Chen, Tao, Lin, Guosheng, Shen, Chunhua
The recent advancements in image-text diffusion models have stimulated research interest in large-scale 3D generative models. Nevertheless, the limited availability of diverse 3D resources presents significant challenges to learning. In this paper, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9af568f2aa84209f6ce06bea441c361
We present 3D Cinemagraphy, a new technique that marries 2D image animation with 3D photography. Given a single still image as input, our goal is to generate a video that contains both visual content animation and camera motion. We empirically find t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40618b7dae68216f0d5688a60ca4772b
Few-shot segmentation aims to learn a segmentation model that can be generalized to novel classes with only a few training images. In this paper, we propose a Cross-Reference and Local-Global Conditional Networks (CRCNet) for few-shot segmentation. U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5ee67708aaf39039b418e4ec2f3ab5d
We propose IntegratedPIFu, a new pixel aligned implicit model that builds on the foundation set by PIFuHD. IntegratedPIFu shows how depth and human parsing information can be predicted and capitalised upon in a pixel-aligned implicit model. In additi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cba8fffb9213c12e1c5ae6269068eeb2
Humans tend to mine objects by learning from a group of images or several frames of video since we live in a dynamic world. In the computer vision area, many researches focus on co-segmentation (CoS), co-saliency detection (CoSD) and video salient ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ff4236af099b5f0f77f46c335b983a0
Indoor self-localization is a highly demanded system function for smartphones. The current solutions based on inertial, radio frequency, and geomagnetic sensing may have degraded performance when their limiting factors take effect. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b66126f533a4935ebb98de447397e170
In this paper, we investigate an open research task of generating 3D cartoon face shapes from single 2D GAN generated human faces and without 3D supervision, where we can also manipulate the facial expressions of the 3D shapes. To this end, we discov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c7db9d1fb57ae09576475dd307ea590