3 citations · 4 across the 4 of their papers we have counts for
6 papers
Constructing a 3D Scene from a Single Image
Kaizhi Zheng, Ruijian Zha, Zishuo Xu +3
Acquiring detailed 3D scenes typically demands costly equipment, multi-view data, or labor-intensive modeling. Therefore, a lightweight alternative, generating complex 3D scenes fr…
PreF3R: Pose-Free Feed-Forward 3D Gaussian Splatting from Variable-length Image Sequence
Zequn Chen, Jiezhi Yang, Heng Yang
We present PreF3R, Pose-Free Feed-forward 3D Reconstruction from an image sequence of variable length. Unlike previous approaches, PreF3R removes the need for camera calibration an…
Recent Advances in 3D Gaussian Splatting
Tong Wu, Yu-Jie Yuan, Ling-Xiao Zhang +4
The emergence of 3D Gaussian Splatting (3DGS) has greatly accelerated the rendering speed of novel view synthesis. Unlike neural implicit representations like Neural Radiance Field…
Mesh-based Gaussian Splatting for Real-time Large-scale Deformation
Lin Gao, Jie Yang, Bo-Tao Zhang +4
Neural implicit representations, including Neural Distance Fields and Neural Radiance Fields, have demonstrated significant capabilities for reconstructing surfaces with complicate…
Anything in Any Scene: Photorealistic Video Object Insertion
Chen Bai, Zeman Shao, Guoxiang Zhang +11
Realistic video simulation has shown significant potential across diverse applications, from virtual reality to film production. This is particularly true for scenarios where captu…
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting
Jiezhi Yang, Khushi Desai, Charles Packer +4
We propose CARFF, a method for predicting future 3D scenes given past observations. Our method maps 2D ego-centric images to a distribution over plausible 3D latent scene configura…