activity
20222026
collaborators
Showing 2026Show all

11 papers · 1 filter

cs.CV2026

Plug-and-Play Traffic Element Awareness for End-to-End Autonomous Driving

Zongzheng Zhang, Jijun Wang, Saining Zhang +8

Traffic elements such as traffic lights and road signs play a fundamental role in human driving decisions and should naturally influence end-to-end driving performance. However, ex…

cs.SD2026

Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation

Junhao Chen, Mingjin Chen, Jingjia Mao +12

Text-to-music language models begin with a choice usually made by default: how to tokenize music. Normally entangled with backbone, data, and recipe, its effect has never been meas…

cs.CV2026

Video Models as Native 4D Renderers: World-Grounded Conditioning from Animated Mesh

Junhao Chen, Mingjin Chen, Henghaofan Zhang +9

Pretrained video diffusion models can act as renderers when the desired scene state is already specified by an animated mesh, a camera trajectory, and a reference image. This 4D ge…

cs.CV2026

Bunraku: Turning a Single Illustration into an Editable Live2D Character

Junhao Chen, Jingjia Mao, Dayong Li +6

Live2D is the dominant 2D character-animation format for anime characters and virtual avatars, representing each character as a stack of RGBA layers driven by per-layer mesh deform…

cs.CV2026

Engine-Native Editable 3D World Reconstruction with Objects and Lighting

Junhao Chen, Xinghao Chen, Henghaofan Zhang +8

Editable 3D scene creation requires object instances and lights that can be inspected, moved, and imported into standard engines, yet existing single-image methods largely stop at…

cs.CV2026

One Video, One World: Turning Monocular Video into Physical 4D Scenes

Junhao Chen, Boran Zhang, Mingjin Chen +7

We introduce \textbf{OVOW}, the first training-free system that reconstructs \emph{instance-level, simulation-ready} 4D mesh scenes from a single monocular video. Recent 4D reconst…

cs.RO2026

LIBERO-Safety: A Comprehensive Benchmark for Physical and Semantic Safety in Vision-Language-Action Models

Rongxu Cui, Zongzheng Zhang, Jingrui Pang +11

Despite the impressive manipulation capabilities of Vision-Language-Action (VLA) models, their operational safety under strict constraints remains largely unverified. To address th…

cs.CV2026

Imagine Before You Draw: Visual Prompt Engineering for Image Generation

Liyu Jia, Fengda Zhang, Jiachun Pan +7

Incorporating visual semantic representations as an intermediate step before image generation can reduce the modeling difficulty between text and images, thereby improving generati…

cs.RO2026

Dexora: Open-source VLA for High-DoF Bimanual Dexterity

Zongzheng Zhang, Jingrui Pang, Zhuo Yang +22

Vision-Language-Action (VLA) models have recently become a central direction in embodied AI, but current systems are restricted to either dual-gripper control or single-arm dextero…

cs.CV2026

Feedforward 3D Editing Learns from Semantic-Part Transformation

Jiawei Weng, Saining Zhang, Zhenxin Diao +4

3D editing is a fundamental capability for scalable 3D content creation. While image editing has rapidly evolved toward large-scale feedforward generative paradigms, 3D AI generati…

cs.CV2026

ArtHOI: Articulated Human-Object Interaction Synthesis by 4D Reconstruction from Video Priors

Zihao Huang, Tianqi Liu, Zhaoxi Chen +7

Synthesizing physically plausible articulated human-object interactions (HOI) without 3D/4D supervision remains a fundamental challenge. While recent zero-shot approaches leverage…