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Xiao Yang

11 papers hereh-index 6542 citations13 works total

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

author position
  • first author1
  • middle author6
  • last author4

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV10
  • eess.SY1
same name
  • Xiao Yang — 288 papers
  • Xiao Yang — 28 papers, h 21
  • Xiao Yang — 14 papers, h 9
  • Xiao Yang — 14 papers, h 3
  • Xiao Yang — 12 papers, h 6
  • Xiao Yang — 10 papers, h 6

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
20232026
most citedSDXL-Lightning: Progressive Adversarial Diffusion Distillation

7 citations · 12 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Geometry-Aware Rotary Position Embedding for Consistent Video World Model

Chendong Xiang, Jiajun Liu, Jintao Zhang +7

Predictive world models that simulate future observations under explicit camera control are fundamental to interactive AI. Despite rapid advances, current systems lack spatial pers…

cs.CV2026

UniRef-Image-Edit: Towards Scalable and Consistent Multi-Reference Image Editing

Hongyang Wei, Bin Wen, Yancheng Long +22

We present UniRef-Image-Edit, a high-performance multi-modal generation system that unifies single-image editing and multi-image composition within a single framework. Existing dif…

cs.CV2026

Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders

Siqi Kou, Jiachun Jin, Zetong Zhou +8

Recent progress in text-to-image (T2I) diffusion models (DMs) has enabled high-quality visual synthesis from diverse textual prompts. Yet, most existing T2I DMs, even those equippe…

cs.CV2026

Focal Guidance: Unlocking Controllability from Semantic-Weak Layers in Video Diffusion Models

Yuanyang Yin, Yufan Deng, Shenghai Yuan +3

The task of Image-to-Video (I2V) generation aims to synthesize a video from a reference image and a text prompt. This requires diffusion models to reconcile high-frequency visual c…

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