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Generative Texture Filtering
Rongjia Zheng, Shangwei Huang, Lei Zhu +2
We present a generative method for texture filtering, which exhibits surprisingly good performance and generalizability. Our core idea is to empower texture filtering by taking ful…
SGS-Intrinsic: Semantic-Invariant Gaussian Splatting for Sparse-View Indoor Inverse Rendering
Jiahao Niu, Rongjia Zheng, Wenju Xu +2
We present SGS-Intrinsic, an indoor inverse rendering framework that works well for sparse-view images. Unlike existing 3D Gaussian Splatting (3DGS) based methods that focus on obj…
You Only Erase Once: Erasing Anything without Bringing Unexpected Content
Yixing Zhu, Qing Zhang, Wenju Xu +1
We present YOEO, an approach for object erasure. Unlike recent diffusion-based methods which struggle to erase target objects without generating unexpected content within the maske…
Learning Explicit Continuous Motion Representation for Dynamic Gaussian Splatting from Monocular Videos
Xuankai Zhang, Junjin Xiao, Shangwei Huang +2
We present an approach for high-quality dynamic Gaussian Splatting from monocular videos. To this end, we in this work go one step further beyond previous methods to explicitly mod…
Structure-Guided Diffusion Models for High-Fidelity Portrait Shadow Removal
Wanchang Yu, Qing Zhang, Rongjia Zheng +1
We present a diffusion-based portrait shadow removal approach that can robustly produce high-fidelity results. Unlike previous methods, we cast shadow removal as diffusion-based in…
Domain Generalizable Portrait Style Transfer
Xinbo Wang, Wenju Xu, Qing Zhang +1
This paper presents a portrait style transfer method that generalizes well to various different domains while enabling high-quality semantic-aligned stylization on regions includin…