Research map / Image generation / Autoregressive and latent generation
GenMask: Adapting DiT for Segmentation via Direct Mask Generation
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation (NeurIPS 2024 · similarity 0.88)
- A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract) (AAAI 2025 · similarity 0.87)
- UniGS: Unified Representation for Image Generation and Segmentation (CVPR 2024 · similarity 0.86)
- Generative Medical Segmentation (AAAI 2025 · similarity 0.86)
- ARGenSeg: Image Segmentation with Autoregressive Image Generation Model (NeurIPS 2025 · similarity 0.86)
- Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation (ICML 2025 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.