Saved in:
| Main Authors: | Liang, Xiaoye, Qu, Zhiyuan, Zou, Mingye, Liu, Jiaxin, Jiang, Lai, Xu, Mai, Zhu, Yiheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.11734 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Models
by: Xiaobin, Hu, et al.
Published: (2025)
by: Xiaobin, Hu, et al.
Published: (2025)
ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing
by: Pan, Yulin, et al.
Published: (2025)
by: Pan, Yulin, et al.
Published: (2025)
DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing
by: Li, Qi, et al.
Published: (2025)
by: Li, Qi, et al.
Published: (2025)
M&M VTO: Multi-Garment Virtual Try-On and Editing
by: Zhu, Luyang, et al.
Published: (2024)
by: Zhu, Luyang, et al.
Published: (2024)
Burst Image Quality Assessment: A New Benchmark and Unified Framework for Multiple Downstream Tasks
by: Liang, Xiaoye, et al.
Published: (2025)
by: Liang, Xiaoye, et al.
Published: (2025)
I2I-Bench: A Comprehensive Benchmark Suite for Image-to-Image Editing Models
by: Wang, Juntong, et al.
Published: (2025)
by: Wang, Juntong, et al.
Published: (2025)
KRIS-Bench: Benchmarking Next-Level Intelligent Image Editing Models
by: Wu, Yongliang, et al.
Published: (2025)
by: Wu, Yongliang, et al.
Published: (2025)
FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models
by: Chong, Zheng, et al.
Published: (2025)
by: Chong, Zheng, et al.
Published: (2025)
Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off
by: Sanguigni, Fulvio, et al.
Published: (2026)
by: Sanguigni, Fulvio, et al.
Published: (2026)
OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
by: Li, Jin, et al.
Published: (2026)
by: Li, Jin, et al.
Published: (2026)
Omni IIE Bench: Benchmarking the Practical Capabilities of Image Editing Models
by: Yang, Yujia, et al.
Published: (2026)
by: Yang, Yujia, et al.
Published: (2026)
Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories
by: Hu, Junyao, et al.
Published: (2026)
by: Hu, Junyao, et al.
Published: (2026)
Reference-Free Image Quality Assessment for Virtual Try-On via Human Feedback
by: Hirakawa, Yuki, et al.
Published: (2026)
by: Hirakawa, Yuki, et al.
Published: (2026)
TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
iTryOn: Mastering Interactive Video Virtual Try-On with Spatial-Semantic Guidance
by: Zheng, Jun, et al.
Published: (2026)
by: Zheng, Jun, et al.
Published: (2026)
OCRGenBench: A Comprehensive Benchmark for Evaluating OCR Generative Capabilities
by: Zhang, Peirong, et al.
Published: (2025)
by: Zhang, Peirong, et al.
Published: (2025)
Mobile-VTON: High-Fidelity On-Device Virtual Try-On
by: Wan, Zhenchen, et al.
Published: (2026)
by: Wan, Zhenchen, et al.
Published: (2026)
GEditBench v2: A Human-Aligned Benchmark for General Image Editing
by: Jiang, Zhangqi, et al.
Published: (2026)
by: Jiang, Zhangqi, et al.
Published: (2026)
GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting
by: Chen, Haodong, et al.
Published: (2024)
by: Chen, Haodong, et al.
Published: (2024)
VEU-Bench: Towards Comprehensive Understanding of Video Editing
by: Li, Bozheng, et al.
Published: (2025)
by: Li, Bozheng, et al.
Published: (2025)
IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment
by: Sun, Shangkun, et al.
Published: (2025)
by: Sun, Shangkun, et al.
Published: (2025)
CrossVTON: Mimicking the Logic Reasoning on Cross-category Virtual Try-on guided by Tri-zone Priors
by: Luo, Donghao, et al.
Published: (2025)
by: Luo, Donghao, et al.
Published: (2025)
RefBench-PRO: Perceptual and Reasoning Oriented Benchmark for Referring Expression Comprehension
by: Gao, Tianyi, et al.
Published: (2025)
by: Gao, Tianyi, et al.
Published: (2025)
UniREditBench: A Unified Reasoning-based Image Editing Benchmark
by: Han, Feng, et al.
Published: (2025)
by: Han, Feng, et al.
Published: (2025)
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
by: Ouyang, Linke, et al.
Published: (2024)
by: Ouyang, Linke, et al.
Published: (2024)
CompBench: Benchmarking Complex Instruction-guided Image Editing
by: Jia, Bohan, et al.
Published: (2025)
by: Jia, Bohan, et al.
Published: (2025)
Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations
by: Zhang, Yifei, et al.
Published: (2023)
by: Zhang, Yifei, et al.
Published: (2023)
REMAC: Reference-Based Martian Asymmetrical Image Compression
by: Ding, Qing, et al.
Published: (2026)
by: Ding, Qing, et al.
Published: (2026)
Video Virtual Try-on with Conditional Diffusion Transformer Inpainter
by: Zou, Cheng, et al.
Published: (2025)
by: Zou, Cheng, et al.
Published: (2025)
Virtual Try-On for Cultural Clothing: A Benchmarking Study
by: Islam, Muhammad Tausif Ul, et al.
Published: (2026)
by: Islam, Muhammad Tausif Ul, et al.
Published: (2026)
DH-VTON: Deep Text-Driven Virtual Try-On via Hybrid Attention Learning
by: Wei, Jiabao, et al.
Published: (2024)
by: Wei, Jiabao, et al.
Published: (2024)
EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
Dynamic Try-On: Taming Video Virtual Try-on with Dynamic Attention Mechanism
by: Zheng, Jun, et al.
Published: (2024)
by: Zheng, Jun, et al.
Published: (2024)
ITVTON: Virtual Try-On Diffusion Transformer Based on Integrated Image and Text
by: Ni, Haifeng, et al.
Published: (2025)
by: Ni, Haifeng, et al.
Published: (2025)
RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes
by: Sun, Zhichao, et al.
Published: (2025)
by: Sun, Zhichao, et al.
Published: (2025)
Image-Based Virtual Try-On: A Survey
by: Song, Dan, et al.
Published: (2023)
by: Song, Dan, et al.
Published: (2023)
InEdit-Bench: Benchmarking Intermediate Logical Pathways for Intelligent Image Editing Models
by: Sheng, Zhiqiang, et al.
Published: (2026)
by: Sheng, Zhiqiang, et al.
Published: (2026)
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
by: Wang, Haoyu, et al.
Published: (2024)
by: Wang, Haoyu, et al.
Published: (2024)
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning
by: Qu, Xiaoye, et al.
Published: (2024)
by: Qu, Xiaoye, et al.
Published: (2024)
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding
by: Zhu, Wenxuan, et al.
Published: (2025)
by: Zhu, Wenxuan, et al.
Published: (2025)
Similar Items
-
VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Models
by: Xiaobin, Hu, et al.
Published: (2025) -
ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing
by: Pan, Yulin, et al.
Published: (2025) -
DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing
by: Li, Qi, et al.
Published: (2025) -
M&M VTO: Multi-Garment Virtual Try-On and Editing
by: Zhu, Luyang, et al.
Published: (2024) -
Burst Image Quality Assessment: A New Benchmark and Unified Framework for Multiple Downstream Tasks
by: Liang, Xiaoye, et al.
Published: (2025)