activity
20242026
most citedOpenFACADES: An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery

19 citations · 25 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control

Shi Chen, Xuecheng Wu, Heli Sun +8

Affective Image Manipulation (AIM) aims to evoke specific emotions through targeted editing. Current image editing benchmarks primarily focus on object-level modifications in gener…

cs.CV2026

FED-Bench: A Cross-Granular Benchmark for Disentangled Evaluation of Facial Expression Editing

Fengjian Xue, Xuecheng Wu, Heli Sun +8

Facial expression image editing requires fine-grained control to strictly preserve human identity and background while precisely manipulating expression. However, existing editing…

cs.CV2025

Show-o2: Improved Native Unified Multimodal Models

Jinheng Xie, Zhenheng Yang, Mike Zheng Shou

This paper presents improved native unified multimodal models, \emph{i.e.,} Show-o2, that leverage autoregressive modeling and flow matching. Built upon a 3D causal variational aut…

cs.CV2025★ 19 cited

OpenFACADES: An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery

Xiucheng Liang, Jinheng Xie, Tianhong Zhao +2

Building properties, such as height, usage, and material, play a crucial role in spatial data infrastructures, supporting various urban applications. Despite their importance, comp…

cs.CV2024★ 3 cited

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Jinheng Xie, Weijia Mao, Zechen Bai +7

We present a unified transformer, i.e., Show-o, that unifies multimodal understanding and generation. Unlike fully autoregressive models, Show-o unifies autoregressive and (discret…

cs.CV2024

Learning Video Context as Interleaved Multimodal Sequences

Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao +6

Narrative videos, such as movies, pose significant challenges in video understanding due to their rich contexts (characters, dialogues, storylines) and diverse demands (identify wh…

cs.CV2024★ 1 cited

WMAdapter: Adding WaterMark Control to Latent Diffusion Models

Hai Ci, Yiren Song, Pei Yang +2

Watermarking is crucial for protecting the copyright of AI-generated images. We propose WMAdapter, a diffusion model watermark plugin that takes user-specified watermark informatio…

cs.CV2024★ 2 cited

Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt

Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin +9

Artistic style transfer aims to transfer the learned artistic style onto an arbitrary content image, generating artistic stylized images. Existing generative adversarial network-ba…

cs.CV2024

HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping

Xin Zhang, Jinheng Xie, Yuan Yuan +2

Unsupervised object discovery and localization aims to detect or segment objects in an image without any supervision. Recent efforts have demonstrated a notable potential to identi…