Image Generation

Follow this topic Ask about this topic

Momentum

25 papers in the last four weeks, up 79% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 278

All topics

SteerFace: Debiasing Synthetic Face Generation via Adaptive Residue Perturbation
May 29, 2026Yuxi Mi, Qiuyang Yuan, Jianqing Xu +5Image Generation Identity-Preserving Image Generation
Fudan University Shanghai, China · Youtu Lab, Tencent Shanghai, China · WeChat Pay Lab33, Tencent Shenzhen, China
GPIC: A Giant Permissive Image Corpus for Visual Generation
May 28, 2026Keshigeyan Chandrasegaran, Kyle Sargent, Suchir Agarwal +6Image Generation Image Generation Evaluation
Stanford University · Radical Numerics · Salesforce Research +1
GenClaw: Code-Driven Agentic Image Generation
May 28, 2026Junyan Ye, Jun He, Zilong Huang +4Image Generation Agentic Image Generation
1Tencent Hunyuan · 2Sun Yat-sen University · 3Tsinghua University +1
Utility-Aware Multimodal Contrastive Learning for Product Image Generation
May 27, 2026Xiaohang Feng, Yiling XieImage Generation E-Commerce
City University of Hong Kong
MangaFlow: An End-to-End Agentic Framework for Controllable Story to Manga Generation
May 27, 2026Muyao Wang, Zeke Xie, Yanhao Chen +2Image Generation Controllable Image Generation
The University of Tokyo · Hong Kong University of Science and Technology (Guangzhou)
Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation
May 27, 2026Niantong Li, Guangzheng Hu, Weixu Qiao +35Image Generation Multimodal Model Evaluation
Alibaba Inc.
MRT: Masked Region Transformer for Layered Image Generation and Editing at Scale
May 26, 2026Zhicong Tang, Zhao Zhang, Jingye Chen +6Diffusion Transformer Image Generation
Canva Research
Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing
May 25, 2026Kiyohiro Nakayama, I-Chao Shen, Ruofan Liu +3Image Generation 3D Shape Generation
Stanford University, USA · The University of Tokyo, Japan · Institute of Science Tokyo, Japan +1
Towards Anatomically Plausible Human Image Generation via Synthetic Localized Preferences
May 25, 2026Bao Li, Yuliang Xiu, Zhen LiuDiffusion Model Alignment Direct Preference Optimization
Westlake University · The Chinese University of Hong Kong, Shenzhen
Geometry-Aware Image Flow Matching
May 24, 2026Junho Lee, Kwanseok Kim, Joonseok LeeFlow Matching Image Generation
1Seoul National University, Seoul, Korea.
Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation
May 24, 2026Imanol G. Estepa, Jesús M Rodríguez-de-Vera, Bhalaji Nagarajan +1Contrastive Learning Image Generation
1Universitat de Barcelona, Barcelona, Spain · 2Barcelona Supercomputing Center (BSC), Barcelona, Spain
BFS: Back-to-Front Layered Image Synthesis via Knowledge Transfer
May 24, 2026Kyoungkook Kang, Gyujin Sim, Sunghyun ChoConditional Image Generation Image Generation
SAMSUNG, Republic of Korea · POSTECH, Republic of Korea
Vision-Language Binding in In-Context Image Generation
May 23, 2026Chris Ge, Rohit Gandikota, Antonio Torralba +1Image Generation Mechanistic Interpretability
MIT CSAIL · Northeastern University
Leveraging Foundation Models for Causal Generative Modeling
May 22, 2026Aneesh Komanduri, Xintao WuCausal Counterfactual Generation Image Generation
University of Arkansas Fayetteville, Arkansas, USA
VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation
May 22, 2026Junwen Tan, Jinglin Liang, Hongyuan Chen +1Rectified Flow Image Generation
South China University of Technology
Composing People Together: Iterative Pose-Image Generation for Multi-Person Interaction Scenes
May 22, 2026Wenxuan Peng, Bharath Hariharan, Hadar Averbuch-ElorImage Generation Compositional Image Generation
Cornell University, Ithaca, USA · Cornell University, New York, New York, USA
From Baseline to Follow-Up: Counterfactual Spine DXA Image Synthesis in UK Biobank Using a Causal Hierarchical Variational Autoencoder
May 21, 2026Yilin Zhang, Nicholas C. Harvey, Nicholas R. Fuggle +1Medical Imaging Image Generation
School of Electronics and Computer Science University of Southampton Southampton, UK · MRC Lifecourse Epidemiology Centre University of Southampton, Southampton General Hospital Southampton, UK
PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models
May 21, 2026Jose Edgar Hernandez Cancino Estrada, Mauro Díaz Lupone, Žiga Emeršič +3Latent Diffusion Models Image Generation
University of Ljubljana, Faculty of Computer and Information Science, Ljubljana, Slovenia · University of Ljubljana, Faculty of Electrical Engineering, Ljubljana, Slovenia
UniVL: Unified Vision-Language Embedding for Spatially Grounded Contextual Image Generation
May 20, 2026Jiayun Wang, Yu Wang, Weijie Gan +2Image Generation Vision-Language Grounding
Center for Advanced AI, Accenture
OcclusionFormer: Arranging Z-Order for Layout-Grounded Image Generation
May 20, 2026Ziye Li, Henghui DingDiffusion Transformer Occlusion Reasoning
Institute of Big Data, College of Computer Science and Artificial Intelligence, Fudan University, China.
Pareto-Enhanced Portrait Generation: Vision-Aligned Text Supervision for Alignment, Realism, and Aesthetics
May 20, 2026Yunlong Wang, Jinjin Shi, Wenbin Gao +3Diffusion Model Alignment Diffusion Transformer
Xiaomi Corporation Nanjing, China · Xiaomi Corporation Beijing, China
PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset
May 19, 2026Haojun Chen, Haoyang He, Chengming Xu +11T2I Generation Image Generation
Zhejiang University · Fudan University · Nanjing University +3
A Framework for Evaluating Zero-Shot Image Generation in Concept-based Explainability
May 19, 2026Giacomo Astolfi, Matteo Bianchi, Riccardo Campi +2Image Generation Concept-Based Explanations
Politecnico di Milano, DEIB, Italy
CPC-VAR:Continual Personalized and Compositional Generation in Visual Autoregressive Models
May 19, 2026Junhao Li, Xinhao Zhong, Yi sun +4Visual Autoregressive Models Subject-Driven Image Generation
Harbin Institute of Technology, Shenzhen · South China University of Technology · Peng Cheng Laboratory +1
Physics-informed simulation framework for realistic sonar image generation and statistical validation
May 19, 2026Kamal Basha S, Athira NambiarUnderwater Imaging Synthetic Data Generation
Department of Computational Intelligence, SRM Institute of Science and Technology, Chennai, India
Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation
May 19, 2026Junjie Wang, Xinghua Lou, Jason Li +8Image Generation Compositional T2I Generation
Harbin Institute of Technology, Shenzhen · University of Science and Technology of China · Shenzhen Loop Area Institute +5
Multi-Scale Generative Modeling with Heat Dissipation Flow Matching
May 19, 2026Jun Ma, Hanquan Zhang, Yanjun Qin +2Flow Matching Image Generation
Department of Systems Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, China · School of Computer Science and Technology, Xinjiang University, Urumqi 830049, China · International Academic Center of Complex Systems, Beijing Normal University, Zhuhai 519087, China +1
Flowing with Confidence
May 18, 2026Friso de Kruiff, Dario Coscia, Max Welling +1Flow Matching Uncertainty Quantification
CuspAI · AMLab, University of Amsterdam · mathLab, SISSA
PanoWorld: A Generative Spatial World Model for Consistent Whole-House Panorama Synthesis
May 18, 2026Jinrang Jia, Zhenjia Li, Yijiang Hu +1World Models Image Generation
Ke Holdings Inc. Beijing, China
Divergence-Suppressing Couplings for Rectified Flow
May 18, 2026Yimeng Min, Carla P. GomesRectified Flow Image Generation
Department of Computer Science Cornell University Ithaca, NY 14850

May 29, 2026, cs.CVJ/K move · Enter open · S save

SteerFace: Debiasing Synthetic Face Generation via Adaptive Residue Perturbation

Yuxi Mi, Qiuyang Yuan, Jianqing Xu, Yichun Zhou+4

Fudan University Shanghai, China · Youtu Lab, Tencent Shanghai, China · WeChat Pay Lab33, Tencent Shenzhen, China

Image Generation Identity-Preserving Image Generation Diffusion-Based Image Generation Face Recognition

Open paper AskPDF arXiv

The shortage of legally compliant data for face recognition training has sparked growing interest in using synthetic data as an alternative. While recent diffusion-based methods enable the generation of photorealistic face images with strong identity adherence and data diversity, their downstream recognition performance still exhibits a significant synthetic-real gap. This paper identifies visual tendency as a previously underexplored limitation, whereby synthetic data exhibit an unrealistic prevalence of visual attributes and thus deviate from the real-data distribution. Visual tendency can be attributed to the generator's conditioning on identity embeddings, through which co-occurring residual visual cues are unintentionally absorbed into learned identity semantics. To discourage the generator from exploiting such visual cues, this paper proposes SteerFace, a simple and efficient training framework that perturbs identity embeddings by steering them toward random orthogonal directions on the embedding hypersphere. The perturbation serves as an identity-preserving regularizer that penalizes the generator's reliance on non-identity components, as supported by theoretical analysis. This paper further introduces an adaptive strategy that learns perturbation strengths with both sample-wise preference and favorable overall statistics. Extensive experiments show that SteerFace effectively mitigates visual tendency, outperforms prior methods in downstream face recognition, and generalizes well across different training datasets and generation pipelines.

Momentum

Related topics

Latest papers 278