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cs.CV2026

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…

cs.CV2026

Omni-3DEdit: Generalized Versatile 3D Editing in One-Pass

Chen Liyi, Wang Pengfei, Zhang Guowen +2

Most instruction-driven 3D editing methods rely on 2D models to guide the explicit and iterative optimization of 3D representations. This paradigm, however, suffers from two primar…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection

Guowen Zhang, Chenhang He, Liyi Chen +1

Integrating LiDAR and camera information in the bird's eye view (BEV) representation has demonstrated its effectiveness in 3D object detection. However, because of the fundamental…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

SimCMF: A Simple Cross-modal Fine-tuning Strategy from Vision Foundation Models to Any Imaging Modality

Chenyang Lei, Liyi Chen, Jun Cen +5

Foundation models like ChatGPT and Sora that are trained on a huge scale of data have made a revolutionary social impact. However, it is extremely challenging for sensors in many d…

cs.CV2024

SimMAT: Exploring Transferability from Vision Foundation Models to Any Image Modality

Chenyang Lei, Liyi Chen, Jun Cen +6

Foundation models like ChatGPT and Sora that are trained on a huge scale of data have made a revolutionary social impact. However, it is extremely challenging for sensors in many d…

cs.CV2024

General Geometry-aware Weakly Supervised 3D Object Detection

Guowen Zhang, Junsong Fan, Liyi Chen +3

3D object detection is an indispensable component for scene understanding. However, the annotation of large-scale 3D datasets requires significant human effort. To tackle this prob…

cs.CV2024

SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing

Ruihuang Li, Liyi Chen, Zhengqiang Zhang +3

Text-based 2D diffusion models have demonstrated impressive capabilities in image generation and editing. Meanwhile, the 2D diffusion models also exhibit substantial potentials for…