collaborators

17 papers

cs.CV2026

Magpie: Real-Time World Renderer for Interactive Games

Xiaoyu Zhan, Xinyu Wang, Xiaohong Zhang +6

Modern game development relies heavily on conventional graphics pipelines. High-quality visual content requires modeling, material authoring, animation, lighting, effects, and runt…

cs.GR2026

MoGeFlow: Flowing Through Motion Codebook Geometry for Text-to-Motion Generation

Pengcheng Fang, Tengjiao Sun, Xiaoyu Zhan +2

Vector-quantized tokenizers have become the dominant interface for text-to-motion generation, and the priors built on them treat motion codes as unordered categorical labels. We sh…

cs.CL2026

AsyncLane: Decoupling Refinement from Advancement in Diffusion Language Model Decoding

Yingxuan Ren, Yuxuan Lou, Yong Liu +4

Block-wise semi-autoregressive decoding is the standard inference paradigm for diffusion large language models (DLMs), but it imposes a strict dependency between blocks: the next b…

cs.CV2026

KV-Control: Parameter-Efficient K/V Injection for Trajectory-Controlled Text-to-Motion

Tengjiao Sun, Pengcheng Fang, Xiaoyu Zhan +4

Text-conditioned 3D human motion models now synthesize plausible motions from prompts, but practical animation and embodied-agent workflows rarely stop at text: a character may nee…

cs.CV2026

SO-Mamba: State-Ownership Mamba for Unrolled MRI Reconstruction

Pengcheng Fang, Hongli Chen, Fangfang Tang +3

Accelerated MRI reconstruction requires recovering missing details while preserving anatomically coherent structures across large spatial regions. State-space models such as Mamba…

cs.GR2026

SCAMP: Sparse-anchor Control is One Small Projection

Pengcheng Fang, Tengjiao Sun, Dongjie Fu +4

Authoring with a text-to-motion generator needs sparse anchors: chosen joints, at chosen frames, at given positions. Meeting them currently costs a conditioning branch trained for…

cs.GR2026

UMo: Unified Sparse Motion Modeling for Real-Time Co-Speech Avatars

Xiaoyu Zhan, Xinyu Fu, Chenghao Yang +9

Speech-driven gestures and facial animations are fundamental to expressive digital avatars in games, virtual production, and interactive media. However, existing methods are either…

cs.CV2026

CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators

Pengcheng Fang, Hongli Chen, Yuxia Chen +3

Spectral token mixers based on Fourier transforms provide an efficient way to model global interactions in visual feature maps. Existing designs often either apply filter-wise spec…

cs.CV2026

Dual-Pathway Circuits of Object Hallucination in Vision-Language Models

Jiaxin Liu, Ding Zhong, Yue Wang +6

Vision-language models (VLMs) have demonstrated remarkable capabilities in bridging visual perception and natural language understanding, enabling a wide range of multimodal reason…

cs.RO2026

Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models

Pengcheng Fang, Hongli Chen, Xiaohao Cai

World action models jointly predict future video and action during training, raising an open question about what role the future-prediction branch actually plays. A recent finding…

cs.MM2026

MarkIt: Training-Free Visual Markers for Precise Video Temporal Grounding

Pengcheng Fang, Yuxia Chen, Xiaohao Cai

Video temporal grounding (VTG) aims to localize the start and end timestamps of the event described by a given query within an untrimmed video. Despite the strong open-world video…

cs.CV2025

HiFi-MambaV2: Hierarchical Shared-Routed MoE for High-Fidelity MRI Reconstruction

Pengcheng Fang, Hongli Chen, Guangzhen Yao +5

Reconstructing high-fidelity MR images from undersampled k-space data requires recovering high-frequency details while maintaining anatomical coherence. We present HiFi-MambaV2, a…

cs.GR2025

MotionDuet: Dual-Conditioned 3D Human Motion Generation with Video-Regularized Text Learning

Yi-Yang Zhang, Tengjiao Sun, Pengcheng Fang +4

3D Human motion generation is pivotal across film, animation, gaming, and embodied intelligence. Traditional 3D motion synthesis relies on costly motion capture, while recent work…

cs.CV2025

Diffusion-grounded VideoLLM for Entity-aware temoporal grounding

Pengcheng Fang, Yuxia Chen, Yong Wang +3

Precise temporal grounding requires distinguishing when a queried event occurs from when its participating entities are merely visible. We propose Diffusion-Grounded VideoLLM, whic…

cs.CV2025

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking

Xudong Han, Pengcheng Fang, Yueying Tian +4

Multi-object tracking (MOT) in monocular videos is fundamentally challenged by occlusions and depth ambiguity, issues that conventional tracking-by-detection (TBD) methods struggle…

eess.IV2025

HiFi-Mamba: Dual-Stream W-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction

Hongli Chen, Pengcheng Fang, Yuxia Chen +6

Reconstructing high-fidelity MR images from undersampled k-space data remains a challenging problem in MRI. While Mamba variants for vision tasks offer promising long-range modelin…

cs.CV2025

MOGO: Residual Quantized Hierarchical Causal Transformer for High-Quality and Real-Time 3D Human Motion Generation

Dongjie Fu, Tengjiao Sun, Pengcheng Fang +2

Recent advances in transformer-based text-to-motion generation have led to impressive progress in synthesizing high-quality human motion. Nevertheless, jointly achieving high fidel…