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 rendering …

In this paper we present ADOP, a novel point-based, differentiable neural rendering
pipeline. Like other neural renderers, our system takes as input calibrated camera images …

We present GauHuman a 3D human model with Gaussian Splatting for both fast training (1 2
minutes) and real-time rendering (up to 189 FPS) compared with existing NeRF-based …

We present a method that simultaneously addresses the tasks of dynamic scene novel-view
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …

View synthesis allows for the generation of new views of a scene given one or more images.
This is challenging; it requires comprehensively understanding the 3D scene from images …

We present a new point-based approach for modeling the appearance of real scenes. The
approach uses a raw point cloud as the geometric representation of a scene, and augments …

We propose SDFDiff, a novel approach for image-based shape optimization using
differentiable rendering of 3D shapes represented by signed distance functions (SDFs) …

Three-dimensional reconstruction technology has demonstrated broad application potential
in the industrial, construction, medical, forestry, agricultural, and pastural sectors in the last …

We present Drivable 3D Gaussian Avatars (D3GA), the first 3D controllable model for human
bodies rendered with Gaussian splats. Current photorealistic drivable avatars require either …

Video interpolation is an important problem in computer vision, which helps overcome the
temporal limitation of camera sensors. Existing video interpolation methods usually assume …