2 citations · 3 across the 6 of their papers we have counts for
6 papers
AIR: Amortized Image Reconstruction Framework for Self-Supervised Feed-Forward 2D Gaussian Splatting
Zhaojie Zeng, Yuesong Wang, Yawei Luo +1
2D Gaussian splatting provides an efficient explicit representation for image reconstruction, but existing methods still require costly per-image iterative optimization or rely on…
Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splatting
Zhaojie Zeng, Yuesong Wang, Chao Yang +2
Implicit Neural Representation (INR) has demonstrated remarkable advances in the field of image representation but demands substantial GPU resources. GaussianImage recently pioneer…
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting
Zhaojie Zeng, Yuesong Wang, Lili Ju +1
By adaptively controlling the density and generating more Gaussians in regions with high-frequency information, 3D Gaussian Splatting (3DGS) can better represent scene details. Fro…
EfficientGS: Streamlining Gaussian Splatting for Large-Scale High-Resolution Scene Representation
Wenkai Liu, Tao Guan, Bin Zhu +5
In the domain of 3D scene representation, 3D Gaussian Splatting (3DGS) has emerged as a pivotal technology. However, its application to large-scale, high-resolution scenes (exceedi…
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
Zhiyuan Min, Yawei Luo, Wei Yang +2
Generalizable NeRF can directly synthesize novel views across new scenes, eliminating the need for scene-specific retraining in vanilla NeRF. A critical enabling factor in these ap…
C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction
Luoyuan Xu, Tao Guan, Yuesong Wang +4
There is an emerging effort to combine the two popular 3D frameworks using Multi-View Stereo (MVS) and Neural Implicit Surfaces (NIS) with a specific focus on the few-shot / sparse…