{"list":"closest","total":56,"rows":[{"id":"2404.15449","title":"ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning","created":"2024-04-23","cited_by_count":18},{"id":"2404.14007","title":"Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting","created":"2024-04-22","cited_by_count":9},{"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":"2404.05674","title":"MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation","created":"2024-04-08","cited_by_count":35},{"id":"2403.13535","title":"IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models","created":"2024-03-20","cited_by_count":32},{"id":"2403.12658","title":"Tuning-Free Image Customization with Image and Text Guidance","created":"2024-03-19","cited_by_count":25},{"id":"2403.11781","title":"Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm","created":"2024-03-18","cited_by_count":39},{"id":"2403.10983","title":"OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models","created":"2024-03-16","cited_by_count":64},{"id":"2403.05094","title":"Face2Diffusion for Fast and Editable Face Personalization","created":"2024-03-08","cited_by_count":17},{"id":"2403.04279","title":"Controllable Generation with Text-to-Image Diffusion Models: A Survey","created":"2024-03-07","cited_by_count":83},{"id":"2402.11487","title":"Visual Concept-driven Image Generation with Text-to-Image Diffusion Model","created":"2024-02-18","cited_by_count":4},{"id":"2402.05195","title":"$\\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space","created":"2024-02-07","cited_by_count":51},{"id":"2401.15708","title":"Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding","created":"2024-01-28","cited_by_count":5},{"id":"2401.13974","title":"BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models","created":"2024-01-25","cited_by_count":27},{"id":"2401.07519","title":"InstantID: Zero-shot Identity-Preserving Generation in Seconds","created":"2024-01-15","cited_by_count":436},{"id":"2312.15905","title":"Cross Initialization for Personalized Text-to-Image Generation","created":"2023-12-26","cited_by_count":10},{"id":"2312.14216","title":"DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation","created":"2023-12-21","cited_by_count":10},{"id":"2312.08048","title":"Compositional Inversion for Stable Diffusion Models","created":"2023-12-13","cited_by_count":19},{"id":"2312.07536","title":"FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition","created":"2023-12-12","cited_by_count":91},{"id":"2312.06354","title":"PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization","created":"2023-12-11","cited_by_count":77},{"id":"2312.03556","title":"Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention","created":"2023-12-06","cited_by_count":13},{"id":"2312.00079","title":"HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models","created":"2023-11-30","cited_by_count":9},{"id":"2311.14631","title":"CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization","created":"2023-11-24","cited_by_count":15},{"id":"2311.13833","title":"Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models","created":"2023-11-23","cited_by_count":19},{"id":"2311.11919","title":"An Image is Worth Multiple Words: Multi-attribute Inversion for Constrained Text-to-Image Synthesis","created":"2023-11-20","cited_by_count":31},{"id":"2311.10329","title":"High-fidelity Person-centric Subject-to-Image Synthesis","created":"2023-11-17","cited_by_count":21},{"id":"2310.19784","title":"CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models","created":"2023-10-30","cited_by_count":25},{"id":"2309.14859","title":"Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation","created":"2023-09-26","cited_by_count":109},{"id":"2309.06895","title":"MagiCapture: High-Resolution Multi-Concept Portrait Customization","created":"2023-09-13","cited_by_count":20},{"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":"2307.11410","title":"Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning","created":"2023-07-21","cited_by_count":191},{"id":"2307.08585","title":"Identity-Preserving Aging of Face Images via Latent Diffusion Models","created":"2023-07-17","cited_by_count":11},{"id":"2306.17154","title":"Generate Anything Anywhere in Any Scene","created":"2023-06-29","cited_by_count":14},{"id":"2306.07280","title":"Controlling Text-to-Image Diffusion by Orthogonal Finetuning","created":"2023-06-12","cited_by_count":208},{"id":"2306.00971","title":"ViCo: Plug-and-play Visual Condition for Personalized Text-to-image Generation","created":"2023-06-01","cited_by_count":23},{"id":"2306.00926","title":"Inserting Anybody in Diffusion Models via Celeb Basis","created":"2023-06-01","cited_by_count":63},{"id":"2305.18292","title":"Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models","created":"2023-05-29","cited_by_count":261},{"id":"2305.16322","title":"Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models","created":"2023-05-25","cited_by_count":359},{"id":"2305.16225","title":"ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models","created":"2023-05-25","cited_by_count":75},{"id":"2305.16223","title":"Prompt-Free Diffusion: Taking \"Text\" out of Text-to-Image Diffusion Models","created":"2023-05-25","cited_by_count":62},{"id":"2305.10431","title":"FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention","created":"2023-05-17","cited_by_count":313},{"id":"2304.06027","title":"Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA","created":"2023-04-12","cited_by_count":141},{"id":"2304.02642","title":"Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models","created":"2023-04-05","cited_by_count":117},{"id":"2303.13495","title":"ReVersion: Diffusion-Based Relation Inversion from Images","created":"2023-03-23","cited_by_count":82},{"id":"2303.11305","title":"SVDiff: Compact Parameter Space for Diffusion Fine-Tuning","created":"2023-03-20","cited_by_count":338},{"id":"2303.09319","title":"Unified Multi-Modal Latent Diffusion for Joint Subject and Text Conditional Image Generation","created":"2023-03-16","cited_by_count":60},{"id":"2303.08767","title":"Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion","created":"2023-03-15","cited_by_count":39},{"id":"2303.07909","title":"Text-to-image Diffusion Models in Generative AI: A Survey","created":"2023-03-14","cited_by_count":265},{"id":"2303.05125","title":"Cones: Concept Neurons in Diffusion Models for Customized Generation","created":"2023-03-09","cited_by_count":150},{"id":"2302.12228","title":"Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models","created":"2023-02-23","cited_by_count":203},{"id":"2302.05543","title":"Adding Conditional Control to Text-to-Image Diffusion Models","created":"2023-02-10","cited_by_count":5503},{"id":"2212.04488","title":"Multi-Concept Customization of Text-to-Image Diffusion","created":"2022-12-08","cited_by_count":1106},{"id":"2211.11337","title":"DreamArtist++: Controllable One-Shot Text-to-Image Generation via Positive-Negative Adapter","created":"2022-11-21","cited_by_count":24},{"id":"2211.08332","title":"Versatile Diffusion: Text, Images and Variations All in One Diffusion Model","created":"2022-11-15","cited_by_count":199},{"id":"2208.12242","title":"DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation","created":"2022-08-25","cited_by_count":3300},{"id":"2204.06125","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","created":"2022-04-13","cited_by_count":6585}],"next_cursor":null}