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20242026
most citedLLMs Meet Multimodal Generation and Editing: A Survey

2 citations · 4 across the 12 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

LiveLight: Real-time Streaming Video Relighting with Interactive Control

Yue Ma, Jiangming Wang, Yucheng Wang +8

We present LiveLight, the first diffusion-based framework for real-time streaming video relighting with interactive 3D lighting control. Achieving this is non-trivial, as it requir…

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

FastVMT: Eliminating Redundancy in Video Motion Transfer

Yue Ma, Zhikai Wang, Tianhao Ren +9

Video motion transfer aims to synthesize videos by generating visual content according to a text prompt while transferring the motion pattern observed in a reference video. Recent…

cs.CV2026

Group Editing: Edit Multiple Images in One Go

Yue Ma, Xinyu Wang, Qianli Ma +9

In this paper, we tackle the problem of performing consistent and unified modifications across a set of related images. This task is particularly challenging because these images m…

cs.CV2025

Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation

Yue Ma, Zexuan Yan, Hongyu Liu +11

We present Follow-Your-Emoji-Faster, an efficient diffusion-based framework for freestyle portrait animation driven by facial landmarks. The main challenges in this task are preser…

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…