8 papers · 1 filter
Occlusion-Robust Multi-Object Decoupling for Physics-Based Robotic Interaction
Xin Dong, Lihan Zhang, Tianru Dai +2
We propose a mask-free method for lossless multi-object 3D reconstruction from sparse and occluded real-world views, enabling physically plausible robotic interaction via Material…
CoSTL: Comprehensive Spatial-Temporal Representation Learning for Moment Retrieval and Highlight Detection
Xin Dong, Wenjia Geng, Wenfeng Deng +1
Video Moment Retrieval (MR) and Highlight Detection (HD) are crucial tasks in video analysis that aim to localize specific moments and estimate clip-wise relevance based on a given…
Boosting Zero-Shot 3D Style Transfer with 2D Pre-trained Priors
Xin Dong, Yunzhi Teng, Wenfeng Deng +1
In this work, we focus on zero-shot 3D style transfer that can generate multi-view consistent stylized views of the 3D scene given an arbitrary style image. We primarily tackle the…
CA-World: Multi-Object Counterfactual Alignment for Efficient Interactive-Ready Reconstruction
Xin Dong, Weijian Deng, Lihan Zhang +3
Reconstructing interaction-ready 3D worlds is essential for physical simulation, virtual reality, robotics, and autonomous driving. However, existing methods mainly optimize static…
SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation
Shilin Ma, Chubin Zhang, Changyuan Wang +6
Real-time inference of vision-language-action (VLA) models is essential for robotic control. While visual token pruning has shown strong potential for accelerating inference, most…
FlexiAct: Towards Flexible Action Control in Heterogeneous Scenarios
Shiyi Zhang, Junhao Zhuang, Zhaoyang Zhang +2
Action customization involves generating videos where the subject performs actions dictated by input control signals. Current methods use pose-guided or global motion customization…
KV-Edit: Training-Free Image Editing for Precise Background Preservation
Tianrui Zhu, Shiyi Zhang, Jiawei Shao +1
Background consistency remains a significant challenge in image editing tasks. Despite extensive developments, existing works still face a trade-off between maintaining similarity…
LIPE: Learning Personalized Identity Prior for Non-rigid Image Editing
Aoyang Liu, Qingnan Fan, Shuai Qin +2
Although recent years have witnessed significant advancements in image editing thanks to the remarkable progress of text-to-image diffusion models, the problem of non-rigid image e…