1 citations · 2 across the 17 of their papers we have counts for
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MIND-V: Hierarchical World Model for Long-Horizon Robotic Manipulation with RL-based Physical Alignment
Ruicheng Zhang, Mingyang Zhang, Jun Zhou +6
Scalable embodied intelligence is constrained by the scarcity of diverse, long-horizon robotic manipulation data. Existing video world models in this domain are limited to synthesi…
Controllable Layer Decomposition for Reversible Multi-Layer Image Generation
Zihao Liu, Zunnan Xu, Shi Shu +4
This work presents Controllable Layer Decomposition (CLD), a method for achieving fine-grained and controllable multi-layer separation of raster images. In practical workflows, des…
EditCast3D: Single-Frame-Guided 3D Editing with Video Propagation and View Selection
Huaizhi Qu, Ruichen Zhang, Shuqing Luo +5
Recent advances in foundation models have driven remarkable progress in image editing, yet their extension to 3D editing remains underexplored. A natural approach is to replace the…
Zo3T: Zero-Shot 3D-Aware Trajectory-Guided Image-to-Video Generation via Test-Time Training
Ruicheng Zhang, Jun Zhou, Zunnan Xu +5
Trajectory-Guided image-to-video (I2V) generation aims to synthesize videos that adhere to user-specified motion instructions. Existing methods typically rely on computationally ex…
RPD-Diff: Region-Adaptive Physics-Guided Diffusion Model for Visibility Enhancement under Dense and Non-Uniform Haze
Ruicheng Zhang, Puxin Yan, Zeyu Zhang +3
Single-image dehazing under dense and non-uniform haze conditions remains challenging due to severe information degradation and spatial heterogeneity. Traditional diffusion-based d…
MARL-MambaContour: Unleashing Multi-Agent Deep Reinforcement Learning for Active Contour Optimization in Medical Image Segmentation
Ruicheng Zhang, Yu Sun, Zeyu Zhang +5
We introduce MARL-MambaContour, the first contour-based medical image segmentation framework based on Multi-Agent Reinforcement Learning (MARL). Our approach reframes segmentation…
Unified Medical Image Segmentation with State Space Modeling Snake
Ruicheng Zhang, Haowei Guo, Kanghui Tian +4
Unified Medical Image Segmentation (UMIS) is critical for comprehensive anatomical assessment but faces challenges due to multi-scale structural heterogeneity. Conventional pixel-b…
DC-Scene: Data-Centric Learning for 3D Scene Understanding
Ting Huang, Zeyu Zhang, Ruicheng Zhang +1
3D scene understanding plays a fundamental role in vision applications such as robotics, autonomous driving, and augmented reality. However, advancing learning-based 3D scene under…
GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation
Ruicheng Zhang, Haowei Guo, Zeyu Zhang +2
Multi-organ segmentation is a critical yet challenging task due to complex anatomical backgrounds, blurred boundaries, and diverse morphologies. This study introduces the Gradient-…
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image Restoration
Ruicheng Zhang, Kanghui Tian, Zeyu Zhang +2
In this study, we reveal that the interaction between haze degradation and JPEG compression introduces complex joint loss effects, which significantly complicate image restoration.…