8 papers
Pose-Free Omnidirectional Gaussian Splatting for 360-Degree Videos with Consistent Depth Priors
Chuanqing Zhuang, Xin Lu, Zehui Deng +4
Omnidirectional 3D Gaussian Splatting with panoramas is a key technique for 3D scene representation, and existing methods typically rely on slow SfM to provide camera poses and spa…
Landmark Guided 4D Facial Expression Generation
Xin Lu, Zhengda Lu, Yiqun Wang +1
In this paper, we proposed a generative model that learns to synthesize the 4D facial expression with the neutral landmark. Existing works mainly focus on the generation of sequenc…
FC-4DFS: Frequency-controlled Flexible 4D Facial Expression Synthesizing
Xin Lu, Chuanqing Zhuang. Zhengda Lu, Yiqun Wang +1
4D facial expression synthesizing is a critical problem in the fields of computer vision and graphics. Current methods lack flexibility and smoothness when simulating the inter-fra…
Memory-Guided View Refinement for Dynamic Human-in-the-loop EQA
Xin Lu, Rui Li, Xun Huang +6
Embodied Question Answering (EQA) has traditionally been evaluated in temporally stable environments where visual evidence can be accumulated reliably. However, in dynamic, human-p…
SpikeGS: Learning 3D Gaussian Fields from Continuous Spike Stream
Jinze Yu, Xin Peng, Zhengda Lu +2
A spike camera is a specialized high-speed visual sensor that offers advantages such as high temporal resolution and high dynamic range compared to conventional frame cameras. Thes…
DehazeGS: Seeing Through Fog with 3D Gaussian Splatting
Jinze Yu, Yiqun Wang, Aiheng Jiang +5
Current novel view synthesis methods are typically designed for high-quality and clean input images. However, in foggy scenes, scattering and attenuation can significantly degrade…