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20192025
most citedHALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving

8 citations · 12 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing

Tianyu Chen, Yasi Zhang, Zhi Zhang +13

Instruction-based image editing has advanced rapidly, yet reliable and interpretable evaluation remains a bottleneck. Current protocols either (i) depend on paired reference images…

cs.CV20241 cited

UltraEdit: Instruction-based Fine-Grained Image Editing at Scale

Haozhe Zhao, Xiaojian Ma, Liang Chen +7

This paper presents UltraEdit, a large-scale (approximately 4 million editing samples), automatically generated dataset for instruction-based image editing. Our key idea is to addr…

cs.CV2024

Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching

Yasi Zhang, Peiyu Yu, Yaxuan Zhu +4

Generative models based on flow matching have attracted significant attention for their simplicity and superior performance in high-resolution image synthesis. By leveraging the in…

cs.CV2024

Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models

Yasi Zhang, Peiyu Yu, Ying Nian Wu

Text-to-image diffusion models have shown great success in generating high-quality text-guided images. Yet, these models may still fail to semantically align generated images with…

cs.CV20193 cited

PGNet: Pose-Guided Point Cloud Generating Networks for 6-DoF Object Pose Estimation

Peiyu Yu, Yongming Rao, Jiwen Lu +1

Humans are able to perform fast and accurate object pose estimation even under severe occlusion by exploiting learned object model priors from everyday life. However, most recently…