2 citations · 4 across the 6 of their papers we have counts for
6 papers
FaceSnap: Enhanced ID-fidelity Network for Tuning-free Portrait Customization
Benxiang Zhai, Yifang Xu, Guofeng Zhang +2
Benefiting from the significant advancements in text-to-image diffusion models, research in personalized image generation, particularly customized portrait generation, has also mad…
One-Shot Refiner: Boosting Feed-forward Novel View Synthesis via One-Step Diffusion
Yitong Dong, Qi Zhang, Minchao Jiang +6
We present a novel framework for high-fidelity novel view synthesis (NVS) from sparse images, addressing key limitations in recent feed-forward 3D Gaussian Splatting (3DGS) methods…
From Sparse to Dense: Camera Relocalization with Scene-Specific Detector from Feature Gaussian Splatting
Zhiwei Huang, Hailin Yu, Yichun Shentu +2
This paper presents a novel camera relocalization method, STDLoc, which leverages Feature Gaussian as scene representation. STDLoc is a full relocalization pipeline that can achiev…
DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
Weicai Ye, Chenhao Ji, Zheng Chen +7
Diffusion-based methods have achieved remarkable achievements in 2D image or 3D object generation, however, the generation of 3D scenes and even images remains constr…
GScream: Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal
Yuxin Wang, Qianyi Wu, Guofeng Zhang +1
This paper tackles the intricate challenge of object removal to update the radiance field using the 3D Gaussian Splatting. The main challenges of this task lie in the preservation…
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion Model
Jiuming Liu, Guangming Wang, Weicai Ye +6
Scene flow estimation, which aims to predict per-point 3D displacements of dynamic scenes, is a fundamental task in the computer vision field. However, previous works commonly suff…