Di Huang

Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis

Jinjin Zhang, Xiefan Guo, Di Huang

Modern ultra-high-resolution image synthesis relies heavily on the robust generative capacity of large-scale pre-trained Latent Diffusion Models (LDMs). While recent representation…

What Makes Synthetic Data Effective in Image Segmentation

Jinjin Zhang, Xiefan Guo, Yizhou Jin +2

Driven by rapid advances in large-scale generative models, synthetic data has emerged as a promising solution for visual understanding. While modern diffusion models achieve remark…

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…

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 $^{2}$ -Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling

Zichen Tang, Hongyu Yang, Hanchen Zhang +2

Advancements in neural implicit representations and differentiable rendering have markedly improved the ability to learn animatable 3D avatars from sparse multi-view RGB videos. Ho…

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…