8 papers · 1 filter
DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images
Pengfei Wang, Shihao Wang, Liyi Chen +3
While monocular depth estimation has achieved significant progress, achieving generalized metric depth estimation for both narrow field-of-view (FoV) perspectives and p…
FitVTON: Fit-aware Virtual Try-On via Body-Garment Size Control
Yiqun Ning, Ao Shen, Chenhang He +1
While diffusion-based virtual try-on has achieved impressive visual realism, most methods treat the task as 2D inpainting, prioritizing texture preservation over physical plausibil…
One2Scene: Geometric Consistent Explorable 3D Scene Generation from a Single Image
Pengfei Wang, Liyi Chen, Zhiyuan Ma +3
Generating explorable 3D scenes from a single image is a highly challenging problem in 3D vision. Existing methods struggle to support free exploration, often producing severe geom…
CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement Learning
Yuhui Wu, Chenxi Xie, Ruibin Li +3
Image editing has achieved impressive results with the development of large-scale generative models. However, existing models mainly focus on the editing effects of intended object…
Fast Multi-view Consistent 3D Editing with Video Priors
Liyi Chen, Ruihuang Li, Guowen Zhang +2
Text-driven 3D editing enables user-friendly 3D object or scene editing with text instructions. Due to the lack of multi-view consistency priors, existing methods typically resort…
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction
Yuhui Wu, Liyi Chen, Ruibin Li +3
Instruction-based video editing allows effective and interactive editing of videos using only instructions without extra inputs such as masks or attributes. However, collecting hig…
Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models
Ruibin Li, Ruihuang Li, Song Guo +1
Text-driven diffusion models have significantly advanced the image editing performance by using text prompts as inputs. One crucial step in text-driven image editing is to invert t…
ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention
Chenhang He, Ruihuang Li, Guowen Zhang +1
Window-based transformers excel in large-scale point cloud understanding by capturing context-aware representations with affordable attention computation in a more localized manner…