Accès ouvert
2026
conference-paper
OpenAlex
Jingdong Zhang, Xiaohang Zhan, Lingzhi Zhang, Yizhou Wang et autres
Comprehensive panoramic scene understanding is critical for immersive applications, yet it remains challenging due to the scarcity of high-resolution, multi-task annotations. While perspective foundation models have achieved success through data scaling, directly adapting them to the panoramic domain often fails due to …
us
(code pays fourni par la source)
Accès ouvert
2025
conference-paper
OpenAlex
Jingdong Zhang, Weikai Chen, Jionghao Wang, Zhengming Yu et autres
Existing single-view 3D generative models typically adopt multiview diffusion priors to reconstruct object surfaces, yet they remain prone to inter-view inconsistencies and are unable to faithfully represent complex internal structure or nontrivial topologies. In particular, we encode geometry information by projecting it …
us, ru, hk
(code pays fourni par la source)
Accès ouvert
2025
conference-paper
OpenAlex
Jionghao Wang, Cheng Lin, Yuan Liu, Rui Xu et autres
Point-based representations have consistently played a vital role in geometric data structures. Most point cloud learning and processing methods typically leverage the unordered and unconstrained nature to represent the underlying geometry of 3D shapes. However, how to extract meaningful structural information from …
us, hk, cn
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Jionghao Wang, Yuan Liu, Zhiyang Dou, Zhengming Yu et autres
cn, us, hk
(code pays fourni par la source)
2024
article
OpenAlex
Shuai Guo, Jingchuan Hu, Kai Zhou, Jionghao Wang et autres
Depth image-based rendering (DIBR) view synthesis is the most widely employed method in real-time FVV research. Despite recent progress, most DIBR-based FVV synthesis approaches are not sufficiently simple and effective in filling holes and artifacts. Additionally, they use RGB-D cameras, which are …
cn
(code pays fourni par la source)
Accès ouvert
2023
preprint
OpenAlex
Jionghao Wang, Yuan Liu, Zhiyang Dou, Zhengming Yu et autres
In this paper, we introduce a novel text-to-avatar generation method that separately generates the human body and the clothes and allows high-quality animation on the generated avatar. While recent advancements in text-to-avatar generation have yielded diverse human avatars from text prompts, these …
Accès ouvert
2023
conference-paper
OpenAlex
Jionghao Wang, Ziyu Chen, Jun Ling, Rong Xie et autres
360° panoramas are extensively utilized as environmental light sources in computer graphics. However, capturing a 360° × 180° panorama poses challenges due to the necessity of specialized and costly equipment, and additional human resources. Prior studies develop various learning-based generative methods to …
cn
(code pays fourni par la source)
2023
conference-paper
OpenAlex
Jionghao Wang, Shuai Guo, Qiuwen Wang, Rong Xie et autres
Recently, human rendering has attracted many attention thanks to its vast applications. With new advances in neural rendering and radiance field, synthesizing realistic novel view images from multi-view camera images can be achived with less manual labour. However, due to the data-driven …
cn
(code pays fourni par la source)
2022
conference-paper
OpenAlex
Kai Zhou, Shuai Guo, Jingchuan Hu, Jionghao Wang et autres
With the increasing popularity of commercial depth cameras, 3D reconstruction of dynamic scenes has aroused widespread interest. Although many novel 3D applications have been unlocked, real-time performance is still a big problem. In this paper, a low-cost, real-time system: LiveRecon3D, is presented, …
cn
(code pays fourni par la source)
2022
conference-paper
OpenAlex
Shuai Guo, Kai Zhou, Jingchuan Hu, Jionghao Wang et autres
Free viewpoint video (FVV) has drawn great attention in recent years, which provides viewers with strong interactive and immersive experience. Despite the developments made, further progress of FVV research is limited by existing datasets that mostly have too few number of camera …
cn
(code pays fourni par la source)