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20232026
most citedControllable Video Generation: A Survey

1 citations · 2 across the 13 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

AvatarPointillist: AutoRegressive 4D Gaussian Avatarization

Hongyu Liu, Xuan Wang, Zijian Wu +7

We introduce AvatarPointillist, a novel framework for generating dynamic 4D Gaussian avatars from a single portrait image. At the core of our method is a decoder-only Transformer t…

cs.CV2026

Video2LoRA: Unified Semantic-Controlled Video Generation via Per-Reference-Video LoRA

Zexi Wu, Baolu Li, Jing Dai +5

Achieving semantic alignment across diverse video generation conditions remains a significant challenge. Methods that rely on explicit structural guidance often enforce rigid spati…

cs.CV2026

CARE-Edit: Condition-Aware Routing of Experts for Contextual Image Editing

Yucheng Wang, Zedong Wang, Yuetong Wu +2

Unified diffusion editors often rely on a fixed, shared backbone for diverse tasks, suffering from task interference and poor adaptation to heterogeneous demands (e.g., local vs gl…

cs.CV2025

VideoCoF: Unified Video Editing with Temporal Reasoner

Xiangpeng Yang, Ji Xie, Yiyuan Yang +4

Existing video editing methods face a critical trade-off: expert models offer precision but rely on task-specific priors like masks, hindering unification; conversely, unified temp…

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…