activity
20242026
most citedLLMs Meet Multimodal Generation and Editing: A Survey

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

collaborators

12 papers

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…

cs.CV2025

Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control

Zeqian Long, Mingzhe Zheng, Kunyu Feng +6

While recent flow-based image editing models demonstrate general-purpose capabilities across diverse tasks, they often struggle to specialize in challenging scenarios -- particular…

cs.GR2025★ 1 cited

Controllable Video Generation: A Survey

Yue Ma, Kunyu Feng, Zhongyuan Hu +19

With the rapid development of AI-generated content (AIGC), video generation has emerged as one of its most dynamic and impactful subfields. In particular, the advancement of video…

cs.CV2025

Calligrapher: Freestyle Text Image Customization

Yue Ma, Qingyan Bai, Hao Ouyang +8

We introduce Calligrapher, a novel diffusion-based framework that innovatively integrates advanced text customization with artistic typography for digital calligraphy and design ap…

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.AI2024★ 2 cited

LLMs Meet Multimodal Generation and Editing: A Survey

Yingqing He, Zhaoyang Liu, Jingye Chen +13

With the recent advancement in large language models (LLMs), there is a growing interest in combining LLMs with multimodal learning. Previous surveys of multimodal large language m…

cs.CV2024★ 1 cited

Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation

Yue Ma, Hongyu Liu, Hongfa Wang +8

We present Follow-Your-Emoji, a diffusion-based framework for portrait animation, which animates a reference portrait with target landmark sequences. The main challenge of portrait…