6 papers
Online Evolution Strategy for Flow-Matching VLA Policies via Self-Supervised Trajectory Distribution Optimization
Gongxin Yao, Yongsheng Zhao, Jiayin Deng +4
Vision-Language-Action (VLA) models based on generative frameworks, such as Flow Matching, have recently achieved impressive performance in robotic manipulation. Unlike determinist…
TAO-DA: Towards Autonomous Operation--A Dual-Arm Vision-Language-Action Model for Coordinated Manipulation
Yongsheng Zhao, Han Gao, Baoping Cheng +7
Vision-Language-Action (VLA) models provide a unified framework for grounding high-level semantic information into low-level robot actions, enabling scalable robotic manipulation a…
FaceRefiner: High-Fidelity Facial Texture Refinement with Differentiable Rendering-based Style Transfer
Chengyang Li, Baoping Cheng, Yao Cheng +5
Recent facial texture generation methods prefer to use deep networks to synthesize image content and then fill in the UV map, thus generating a compelling full texture from a singl…
VLA-RAIL: A Real-Time Asynchronous Inference Linker for VLA Models and Robots
Yongsheng Zhao, Lei Zhao, Baoping Cheng +3
Vision-Language-Action (VLA) models have achieved remarkable breakthroughs in robotics, with the action chunk playing a dominant role in these advances. Given the real-time and con…
DNPM: A Neural Parametric Model for the Synthesis of Facial Geometric Details
Haitao Cao, Baoping Cheng, Qiran Pu +6
Parametric 3D models have enabled a wide variety of computer vision and graphics tasks, such as modeling human faces, bodies and hands. In 3D face modeling, 3DMM is the most widely…
Learn2Talk: 3D Talking Face Learns from 2D Talking Face
Yixiang Zhuang, Baoping Cheng, Yao Cheng +6
Speech-driven facial animation methods usually contain two main classes, 3D and 2D talking face, both of which attract considerable research attention in recent years. However, to…