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Ailing Zeng

9 papers hereh-index 7516 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author7

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV9
same name
  • Ailing Zeng — 33 papers, h 25
  • Ailing Zeng — 14 papers, h 13
  • Ailing Zeng — 5 papers, h 5
  • Ailing Zeng — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedThe Dawn of Video Generation: Preliminary Explorations with SORA-like Models

2 citations · 3 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

OmniMotion-X: Versatile Multimodal Whole-Body Motion Generation

Guowei Xu, Yuxuan Bian, Ailing Zeng +6

This paper introduces OmniMotion-X, a versatile multimodal framework for whole-body human motion generation, leveraging an autoregressive diffusion transformer in a unified sequenc…

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

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation

Qin Guo, Ailing Zeng, Dongxu Yue +7

Although significant advancements have been achieved in the progress of keypoint-guided Text-to-Image diffusion models, existing mainstream keypoint-guided models encounter challen…

cs.CV2025

VideoGen-Eval: Agent-based System for Video Generation Evaluation

Yuhang Yang, Ke Fan, Shangkun Sun +7

The rapid advancement of video generation has rendered existing evaluation systems inadequate for assessing state-of-the-art models, primarily due to simple prompts that cannot sho…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.