{"total":67,"rows":[{"id":"2402.17525","title":"Diffusion Model-Based Image Editing: A Survey","created":"2024-02-27","cited_by_count":212,"area":"diffusion"},{"id":"2312.01725","title":"StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On","created":"2023-12-04","cited_by_count":175,"area":"diffusion"},{"id":"2305.13501","title":"LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On","created":"2023-05-22","cited_by_count":152,"area":"diffusion"},{"id":"2403.01779","title":"OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on","created":"2024-03-04","cited_by_count":151,"area":"diffusion"},{"id":"2308.06101","title":"Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow","created":"2023-08-11","cited_by_count":124,"area":"diffusion"},{"id":"2403.05139","title":"Improving Diffusion Models for Authentic Virtual Try-on in the Wild","created":"2024-03-08","cited_by_count":109,"area":"diffusion"},{"id":"2407.15886","title":"CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models","created":"2024-07-21","cited_by_count":102,"area":"diffusion"},{"id":"2407.12705","title":"IMAGDressing-v1: Customizable Virtual Dressing","created":"2024-07-17","cited_by_count":100,"area":"diffusion"},{"id":"2310.08579","title":"HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion","created":"2023-10-12","cited_by_count":68,"area":"diffusion"},{"id":"2304.02051","title":"Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing","created":"2023-04-04","cited_by_count":62,"area":"diffusion"},{"id":"2311.18405","title":"CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model","created":"2023-11-30","cited_by_count":48,"area":"diffusion"},{"id":"2405.11794","title":"ViViD: Video Virtual Try-on using Diffusion Models","created":"2024-05-20","cited_by_count":42,"area":"diffusion"},{"id":"2404.01089","title":"Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On","created":"2024-04-01","cited_by_count":38,"area":"diffusion"},{"id":"2408.06047","title":"BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training","created":"2024-08-12","cited_by_count":37,"area":"diffusion"},{"id":"2403.10783","title":"StableGarment: Garment-Centric Generation via Stable Diffusion","created":"2024-03-16","cited_by_count":27,"area":"diffusion"},{"id":"2404.15677","title":"CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models","created":"2024-04-24","cited_by_count":24,"area":"diffusion"},{"id":"2407.10625","title":"WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models","created":"2024-07-15","cited_by_count":22,"area":"diffusion"},{"id":"2411.18350","title":"TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models","created":"2024-11-27","cited_by_count":19,"area":"diffusion"},{"id":"2312.03667","title":"WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on","created":"2023-12-06","cited_by_count":18,"area":"diffusion"},{"id":"2411.00225","title":"Fashion-VDM: Video Diffusion Model for Virtual Try-On","created":"2024-10-31","cited_by_count":16,"area":"diffusion"},{"id":"2409.08258","title":"Improving Virtual Try-On with Garment-focused Diffusion Models","created":"2024-09-12","cited_by_count":15,"area":"diffusion"},{"id":"2406.07516","title":"Instant 3D Human Avatar Generation using Image Diffusion Models","created":"2024-06-11","cited_by_count":14,"area":"diffusion"},{"id":"2212.06458","title":"HS-Diffusion: Semantic-Mixing Diffusion for Head Swapping","created":"2022-12-13","cited_by_count":13,"area":"diffusion"},{"id":"2507.23300","title":"Training-free Geometric Image Editing on Diffusion Models","created":"2025-07-31","cited_by_count":13,"area":"diffusion"},{"id":"2401.13795","title":"Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All","created":"2024-01-24","cited_by_count":11,"area":"diffusion"},{"id":"2405.18326","title":"VITON-DiT: Learning In-the-Wild Video Try-On from Human Dance Videos via Diffusion Transformers","created":"2024-05-28","cited_by_count":11,"area":"diffusion"},{"id":"2505.16980","title":"Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction","created":"2025-05-22","cited_by_count":11,"area":"diffusion"},{"id":"2508.20586","title":"FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models","created":"2025-08-28","cited_by_count":11,"area":"diffusion"},{"id":"2503.20418","title":"ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On","created":"2025-03-26","cited_by_count":10,"area":"diffusion"},{"id":"2507.15037","title":"OmniVTON: Training-Free Universal Virtual Try-On","created":"2025-07-20","cited_by_count":9,"area":"diffusion"},{"id":"2411.17017","title":"TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On","created":"2024-11-26","cited_by_count":8,"area":"diffusion"},{"id":"2505.16977","title":"Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On","created":"2025-05-22","cited_by_count":8,"area":"diffusion"},{"id":"2508.04825","title":"Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off","created":"2025-08-06","cited_by_count":8,"area":"diffusion"},{"id":"2508.17614","title":"JCo-MVTON: Jointly Controllable Multi-Modal Diffusion Transformer for Mask-Free Virtual Try-on","created":"2025-08-25","cited_by_count":7,"area":"diffusion"},{"id":"2404.03642","title":"DiffBody: Human Body Restoration by Imagining with Generative Diffusion Prior","created":"2024-04-04","cited_by_count":6,"area":"diffusion"},{"id":"2501.03630","title":"MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer","created":"2025-01-07","cited_by_count":6,"area":"diffusion"},{"id":"2503.08650","title":"MF-VITON: High-Fidelity Mask-Free Virtual Try-On with Minimal Input","created":"2025-03-11","cited_by_count":6,"area":"diffusion"},{"id":"2403.14828","title":"Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing","created":"2024-03-21","cited_by_count":5,"area":"diffusion"},{"id":"2510.02291","title":"Test-Time Anchoring for Discrete Diffusion Posterior Sampling","created":"2025-10-02","cited_by_count":5,"area":"diffusion"},{"id":"2402.03047","title":"PFDM: Parser-Free Virtual Try-on via Diffusion Model","created":"2024-02-05","cited_by_count":3,"area":"diffusion"},{"id":"2409.02653","title":"Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects","created":"2024-09-04","cited_by_count":3,"area":"diffusion"},{"id":"2504.17414","title":"3DV-TON: Textured 3D-Guided Consistent Video Try-on via Diffusion Models","created":"2025-04-24","cited_by_count":3,"area":"diffusion"},{"id":"2505.23186","title":"HiGarment: Cross-modal Harmony Based Diffusion Model for Flat Sketch to Realistic Garment Image","created":"2025-05-29","cited_by_count":3,"area":"diffusion"},{"id":"2506.21270","title":"Video Virtual Try-on with Conditional Diffusion Transformer Inpainter","created":"2025-06-26","cited_by_count":3,"area":"diffusion"},{"id":"2306.05182","title":"Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models","created":"2023-05-15","cited_by_count":2,"area":"diffusion"},{"id":"2507.02713","title":"UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation","created":"2025-07-03","cited_by_count":2,"area":"diffusion"},{"id":"2509.11638","title":"IS-Diff: Improving Diffusion-Based Inpainting with Better Initial Seed","created":"2025-09-15","cited_by_count":2,"area":"diffusion"},{"id":"2509.13506","title":"DEFT-VTON: Efficient Virtual Try-On with Consistent Generalised H-Transform","created":"2025-09-16","cited_by_count":2,"area":"diffusion"},{"id":"2601.22725","title":"OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation","created":"2026-01-30","cited_by_count":2,"area":"diffusion"},{"id":"2310.00106","title":"FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery","created":"2023-09-29","cited_by_count":1,"area":"diffusion"},{"id":"2401.11239","title":"Product-Level Try-on: Characteristics-preserving Try-on with Realistic Clothes Shading and Wrinkles","created":"2024-01-20","cited_by_count":1,"area":"diffusion"},{"id":"2603.19643","title":"OmniDiT: Extending Diffusion Transformer to Omni-VTON Framework","created":"2026-03-20","cited_by_count":1,"area":"diffusion"},{"id":"2606.27773","title":"ModaFlow: Modality-Aware Flow Matching for High-Fidelity Virtual Try-On","created":"2026-06-26","cited_by_count":1,"area":"diffusion"},{"id":"2406.02184","title":"GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryon","created":"2024-06-04","cited_by_count":0,"area":"diffusion"},{"id":"2406.10539","title":"Self-Supervised Vision Transformer for Enhanced Virtual Clothes Try-On","created":"2024-06-15","cited_by_count":0,"area":"diffusion"},{"id":"2412.14465","title":"DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On","created":"2024-12-19","cited_by_count":0,"area":"diffusion"},{"id":"2503.01294","title":"Fine-Grained Controllable Apparel Showcase Image Generation via Garment-Centric Outpainting","created":"2025-03-03","cited_by_count":0,"area":"diffusion"},{"id":"2503.11143","title":"GaussianIP: Identity-Preserving Realistic 3D Human Generation via Human-Centric Diffusion Prior","created":"2025-03-14","cited_by_count":0,"area":"diffusion"},{"id":"2504.00562","title":"Diffusion Model-Based Size Variable Virtual Try-On Technology and Evaluation Method","created":"2025-04-01","cited_by_count":0,"area":"diffusion"},{"id":"2506.23295","title":"DiffFit: Disentangled Garment Warping and Texture Refinement for Virtual Try-On","created":"2025-06-29","cited_by_count":0,"area":"diffusion"},{"id":"2507.10217","title":"From Wardrobe to Canvas: Wardrobe Polyptych LoRA for Part-level Controllable Human Image Generation","created":"2025-07-14","cited_by_count":0,"area":"diffusion"},{"id":"2509.25749","title":"ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On","created":"2025-09-30","cited_by_count":0,"area":"diffusion"},{"id":"2601.22838","title":"Neural Clothing Tryer: Customized Virtual Try-On via Semantic Enhancement and Controlling Diffusion Model","created":"2026-01-30","cited_by_count":0,"area":"diffusion"},{"id":"2603.07291","title":"Virtual Try-On for Cultural Clothing: A Benchmarking Study","created":"2026-03-07","cited_by_count":0,"area":"diffusion"},{"id":"2604.08716","title":"What Matters in Virtual Try-Off? Dual-UNet Diffusion Model For Garment Reconstruction","created":"2026-04-09","cited_by_count":0,"area":"diffusion"},{"id":"2606.29319","title":"FDM-MFVT: Few-step Sampling Diffusion Model for Mask-Free Virtual Try-On","created":"2026-06-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.25881","title":"Delving into Asymmetric Information Dynamics for High-Fidelity Virtual Try-On","created":"2026-09-22","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}