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Yiyang Wang

5 papers hereh-index 498 citations10 works total

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

author position
  • first author3
  • middle author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
same name
  • Yiyang Wang — 5 papers, h 2
  • Yiyang Wang — 2 papers, h 2
  • Yiyang Wang — 2 papers, h 1
  • Yiyang Wang — 1 paper, h 0
  • Yiyang Wang — 1 paper, h 1
  • Yiyang Wang — 1 paper, h 5

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
collaborators

5 papers

cs.LG2026

GDRO: Group-level Reward Post-training Suitable for Diffusion Models

Yiyang Wang, Xi Chen, Xiaogang Xu +2

Recent advancements adopt online reinforcement learning (RL) from LLMs to text-to-image rectified flow diffusion models for reward alignment. The use of group-level rewards success…

cs.CV2025

DiffCamera: Arbitrary Refocusing on Images

Yiyang Wang, Xi Chen, Xiaogang Xu +2

The depth-of-field (DoF) effect, which introduces aesthetically pleasing blur, enhances photographic quality but is fixed and difficult to modify once the image has been created. T…

cs.CV2025

LayerFlow: A Unified Model for Layer-aware Video Generation

Sihui Ji, Hao Luo, Xi Chen +3

We present LayerFlow, a unified solution for layer-aware video generation. Given per-layer prompts, LayerFlow generates videos for the transparent foreground, clean background, and…

cs.CV2025

DiffDoctor: Diagnosing Image Diffusion Models Before Treating

Yiyang Wang, Xi Chen, Xiaogang Xu +4

In spite of recent progress, image diffusion models still produce artifacts. A common solution is to leverage the feedback provided by quality assessment systems or human annotator…

cs.CV2024

FashionComposer: Compositional Fashion Image Generation

Sihui Ji, Yiyang Wang, Xi Chen +3

We present FashionComposer for compositional fashion image generation. Unlike previous methods, FashionComposer is highly flexible. It takes multi-modal input (i.e., text prompt, p…

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