7 citations · 7 across the 13 of their papers we have counts for
13 papers
Catalyst4D: High-Fidelity 3D-to-4D Scene Editing via Dynamic Propagation
Shifeng Chen, Yihui Li, Jun Liao +2
Recent advances in 3D scene editing using NeRF and 3DGS enable high-quality static scene editing. In contrast, dynamic scene editing remains challenging, as methods that directly e…
Gau-Occ: Geometry-Completed Gaussians for Multi-Modal 3D Occupancy Prediction
Chengxin Lv, Yihui Li, Hongyu Yang +1
3D semantic occupancy prediction is crucial for autonomous driving. While multi-modal fusion improves accuracy over vision-only methods, it typically relies on computationally expe…
TokenSplat: Token-aligned 3D Gaussian Splatting for Feed-forward Pose-free Reconstruction
Yihui Li, Chengxin Lv, Zichen Tang +2
We present TokenSplat, a feed-forward framework for joint 3D Gaussian reconstruction and camera pose estimation from unposed multi-view images. At its core, TokenSplat introduces a…
MSN: Multi-directional Similarity Network for Hand-crafted and Deep-synthesized Copy-Move Forgery Detection
Liangwei Jiang, Jinluo Xie, Yecheng Huang +3
Copy-move image forgery aims to duplicate certain objects or to hide specific contents with copy-move operations, which can be achieved by a sequence of manual manipulations as wel…
Micro-macro Gaussian Splatting with Enhanced Scalability for Unconstrained Scene Reconstruction
Yihui Li, Chengxin Lv, Hongyu Yang +1
Reconstructing 3D scenes from unconstrained image collections poses significant challenges due to variations in appearance. In this paper, we propose Scalable Micro-macro Wavelet-b…
Conditioning Residuals for Diffusion Models via Representation Feedback
Weilai Xiang, Hongyu Yang, Di Huang +1
Diffusion models now serve as a common foundation for multimedia generation, and useful intermediate representations emerge during their generative training. Standard architectures…
Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images
Yihui Li, Chengxin Lv, Hongyu Yang +1
3D reconstruction from unconstrained image collections presents substantial challenges due to varying appearances and transient occlusions. In this paper, we introduce Micro-macro…
Generating Editable Head Avatars with 3D Gaussian GANs
Guohao Li, Hongyu Yang, Yifang Men +4
Generating animatable and editable 3D head avatars is essential for various applications in computer vision and graphics. Traditional 3D-aware generative adversarial networks (GANs…
3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior
Guohao Li, Hongyu Yang, Di Huang +1
Generative 3D face models featuring disentangled controlling factors hold immense potential for diverse applications in computer vision and computer graphics. However, previous 3D…
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization
Xiefan Guo, Jinlin Liu, Miaomiao Cui +3
Recent strides in the development of diffusion models, exemplified by advancements such as Stable Diffusion, have underscored their remarkable prowess in generating visually compel…
DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling
Yueming Zhao, Xuening Yuan, Hongyu Yang +1
Recent advances in text-to-3D creation integrate the potent prior of Diffusion Models from text-to-image generation into 3D domain. Nevertheless, generating 3D scenes with multiple…
DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition
Hebeizi Li, Hongyu Yang, Di Huang
Facial Expression Recognition (FER) has consistently been a focal point in the field of facial analysis. In the context of existing methodologies for 3D FER or 2D+3D FER, the extra…
Deep Common Feature Mining for Efficient Video Semantic Segmentation
Yaoyan Zheng, Hongyu Yang, Di Huang
Recent advancements in video semantic segmentation have made substantial progress by exploiting temporal correlations. Nevertheless, persistent challenges, including redundant comp…