{"list":"other","total":60,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"1807.03748","title":"Representation Learning with Contrastive Predictive Coding","created":"2018-07-10","cited_by_count":7777},{"id":"2212.09748","title":"Scalable Diffusion Models with Transformers","created":"2022-12-19","cited_by_count":6054},{"id":"2210.02747","title":"Flow Matching for Generative Modeling","created":"2022-10-06","cited_by_count":5702},{"id":"2302.05543","title":"Adding Conditional Control to Text-to-Image Diffusion Models","created":"2023-02-10","cited_by_count":5503},{"id":"2303.15343","title":"Sigmoid Loss for Language Image Pre-Training","created":"2023-03-27","cited_by_count":3109},{"id":"1503.03832","title":"FaceNet: A Unified Embedding for Face Recognition and Clustering","created":"2015-03-12","cited_by_count":2849},{"id":"2308.06721","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","created":"2023-08-13","cited_by_count":1464},{"id":"2506.15742","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","created":"2025-06-17","cited_by_count":1006},{"id":"2505.14683","title":"Emerging Properties in Unified Multimodal Pretraining","created":"2025-05-20","cited_by_count":897},{"id":"2211.11559","title":"Visual Programming: Compositional visual reasoning without training","created":"2022-11-18","cited_by_count":516},{"id":"2408.11039","title":"Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model","created":"2024-08-20","cited_by_count":483},{"id":"2401.07519","title":"InstantID: Zero-shot Identity-Preserving Generation in Seconds","created":"2024-01-15","cited_by_count":436},{"id":"2504.17761","title":"Step1X-Edit: A Practical Framework for General Image Editing","created":"2025-04-24","cited_by_count":429},{"id":"2502.16982","title":"Muon is Scalable for LLM Training","created":"2025-02-24","cited_by_count":428},{"id":"2409.11340","title":"OmniGen: Unified Image Generation","created":"2024-09-17","cited_by_count":394},{"id":"2204.00964","title":"AdaFace: Quality Adaptive Margin for Face Recognition","created":"2022-04-03","cited_by_count":391},{"id":"2305.15393","title":"LayoutGPT: Compositional Visual Planning and Generation with Large Language Models","created":"2023-05-24","cited_by_count":347},{"id":"2312.04461","title":"PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding","created":"2023-12-07","cited_by_count":328},{"id":"2305.10431","title":"FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention","created":"2023-05-17","cited_by_count":313},{"id":"2305.13655","title":"LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models","created":"2023-05-23","cited_by_count":243},{"id":"2401.11708","title":"Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs","created":"2024-01-22","cited_by_count":224},{"id":"2505.00703","title":"T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT","created":"2025-05-01","cited_by_count":166},{"id":"2504.02160","title":"Less-to-More Generalization: Unlocking More Controllability by In-Context Generation","created":"2025-04-02","cited_by_count":154},{"id":"2509.23951","title":"HunyuanImage 3.0 Technical Report","created":"2025-09-28","cited_by_count":149},{"id":"2404.16022","title":"PuLID: Pure and Lightning ID Customization via Contrastive Alignment","created":"2024-04-24","cited_by_count":144},{"id":"2503.10639","title":"GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing","created":"2025-03-13","cited_by_count":104},{"id":"2403.11641","title":"Arc2Face: A Foundation Model for ID-Consistent Human Faces","created":"2024-03-18","cited_by_count":101},{"id":"2512.07584","title":"LongCat-Image Technical Report","created":"2025-12-08","cited_by_count":100},{"id":"2504.16915","title":"DreamO: A Unified Framework for Image Customization","created":"2025-04-23","cited_by_count":83},{"id":"2306.06638","title":"Face0: Instantaneously Conditioning a Text-to-Image Model on a Face","created":"2023-06-11","cited_by_count":78},{"id":"2312.06354","title":"PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization","created":"2023-12-11","cited_by_count":77},{"id":"2506.21416","title":"XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation","created":"2025-06-26","cited_by_count":56},{"id":"2312.02663","title":"FaceStudio: Put Your Face Everywhere in Seconds","created":"2023-12-05","cited_by_count":53},{"id":"2505.17022","title":"GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning","created":"2025-05-22","cited_by_count":52},{"id":"2404.11565","title":"MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation","created":"2024-04-17","cited_by_count":51},{"id":"2408.05939","title":"UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization","created":"2024-08-12","cited_by_count":47},{"id":"2401.15975","title":"StableIdentity: Inserting Anybody into Anywhere at First Sight","created":"2024-01-29","cited_by_count":35},{"id":"2503.16418","title":"InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity","created":"2025-03-20","cited_by_count":35},{"id":"2605.11061","title":"HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer","created":"2026-05-11","cited_by_count":32},{"id":"2605.12500","title":"SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture","created":"2026-05-12","cited_by_count":32},{"id":"2404.19427","title":"InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation","created":"2024-04-30","cited_by_count":30},{"id":"2508.18966","title":"USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning","created":"2025-08-26","cited_by_count":27},{"id":"2304.07735","title":"Permutation Equivariance of Transformers and Its Applications","created":"2023-04-16","cited_by_count":20},{"id":"2509.06818","title":"UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward","created":"2025-09-08","cited_by_count":19},{"id":"2402.12908","title":"RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models","created":"2024-02-20","cited_by_count":18},{"id":"2503.10127","title":"PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models","created":"2025-03-13","cited_by_count":18},{"id":"2510.14975","title":"WithAnyone: Towards Controllable and ID Consistent Image Generation","created":"2025-10-16","cited_by_count":17},{"id":"2411.13632","title":"ID-Patch: Robust ID Association for Group Photo Personalization","created":"2024-11-20","cited_by_count":11},{"id":"2505.02823","title":"MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing","created":"2025-05-05","cited_by_count":11},{"id":"2506.20879","title":"MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans","created":"2025-06-25","cited_by_count":8},{"id":"2605.31604","title":"Representation Forcing for Bottleneck-Free Unified Multimodal Models","created":"2026-05-29","cited_by_count":4},{"id":"2510.01399","title":"Resolving the Identity Crisis in Text-to-Image Generation","created":"2025-10-01","cited_by_count":3},{"id":"2511.22690","title":"Ar2Can: An Architect and an Artist Leveraging a Canvas for Multi-Human Generation","created":"2025-11-27","cited_by_count":2},{"id":"2607.16409","title":"Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models","created":"2026-07-17","cited_by_count":1}],"next_cursor":null}