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From the 1 of 8 linked papers with an AI index.

collaborators

8 papers

cs.CV2026

MagicPrompt: Ultra-Lightweight Prompt Tuning for Video Generation

Yinhan Zhang, Dingwei Tan, Dinwei Tan +4

The paper introduces MagicPrompt, a lightweight method that uses attention-embedded soft prompts and dual-space reward feedback to fine‑tune large video diffusion models with less…

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: Steering NPC in Reactive Game World Models

Zeqing Wang, Danze Chen, Zhaohu Xing +4

Current game world models simulate environments from a subjective, player-centric perspective. However, by treating the Non-Player Character (NPC) merely as background pixels, thes…

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

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-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…