5 papers · 1 filter
DReSG: Diffusion Residuals for Stylized Gaussian Splatting
Zhongliang Liu, Wenjie Liu, Yang Li
Reference-guided stylization of scenes represented by 3D Gaussian Splatting (3DGS) is important for efficient and controllable 3D content creation. Existing VGG-feature-based 3D st…
h-Flow: Flexible Flow-based Image Editing via Doob's h-Transform
Zehui Guo, Zhen Wang, Junwei Shu +3
Editing images with pre-trained text-to-image flow models typically requires carefully balancing target alignment with the desired prompt and source consistency with the original i…
Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling
Junwei Shu, Wenjie Liu, Hantang Liu +2
Monte Carlo rendering and modern generative models both transform uncertain states into structured images, yet they are usually studied as separate processes. We introduce Monte Ca…
LMP: Leveraging Motion Prior in Zero-Shot Video Generation with Diffusion Transformer
Changgu Chen, Xiaoyan Yang, Junwei Shu +2
In recent years, large-scale pre-trained diffusion transformer models have made significant progress in video generation. While current DiT models can produce high-definition, high…
ABC-GS: Alignment-Based Controllable Style Transfer for 3D Gaussian Splatting
Wenjie Liu, Zhongliang Liu, Xiaoyan Yang +2
3D scene stylization approaches based on Neural Radiance Fields (NeRF) achieve promising results by optimizing with Nearest Neighbor Feature Matching (NNFM) loss. However, NNFM los…