collaborators

8 papers

cs.CV2026

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation

Yinhan Zhang, Dingwei Tan, Xianghao Kong +3

Large-scale video diffusion models deliver strong generation performance, but full fine-tuning for downstream tasks incurs prohibitive computational costs. Existing parameter-effic…

cs.CV2026

EasyVFX: Frequency-Driven Decoupling for Resource-Efficient VFX Generation

Yue Ma, Xu Ye, Qinghe Wang +9

Generating high-fidelity visual effects (VFX) typically demands massive datasets and prohibitive computational power due to the intricate coupling of spatial textures and temporal…

cs.CV2026

ReactiveGWM: Flexible Control and NPC Reactivity in Game World Models

Zeqing Wang, Danze Chen, Zhaohu Xing +4

Existing game world models typically adopt role-specific interactions, where player and NPC roles are bound to fixed characters. This limits their flexibility in multi-character ga…

cs.CV2026

InstanceAnimator: Multi-Instance Sketch Video Colorization

Yinhan Zhang, Yue Ma, Bingyuan Wang +5

We propose InstanceAnimator, a novel Diffusion Transformer framework for multi-instance sketch video colorization. Existing methods suffer from three core limitations: inflexible u…

cs.CV2025

Follow-Your-Instruction: A Comprehensive MLLM Agent for World Data Synthesis

Kunyu Feng, Yue Ma, Xinhua Zhang +9

With the growing demands of AI-generated content (AIGC), the need for high-quality, diverse, and scalable data has become increasingly crucial. However, collecting large-scale real…

cs.CV2025

EVCtrl: Efficient Control Adapter for Visual Generation

Zixiang Yang, Yue Ma, Yinhan Zhang +3

Visual generation includes both image and video generation, training probabilistic models to create coherent, diverse, and semantically faithful content from scratch. While early r…

cs.CV2025

Follow-Your-Creation: Empowering 4D Creation through Video Inpainting

Yue Ma, Kunyu Feng, Xinhua Zhang +7

We introduce Follow-Your-Creation, a novel 4D video creation framework capable of both generating and editing 4D content from a single monocular video input. By leveraging a powerf…

cs.CV2025

Follow-Your-Color: Multi-Instance Sketch Colorization

Yinhan Zhang, Yue Ma, Bingyuan Wang +2

We present Follow-Your-Color, a diffusion-based framework for multi-instance sketch colorization. The production of multi-instance 2D line art colorization adheres to an industry-s…