Beyond Pixel Reconstruction: Retrieval-Guided Glyph-Aware Restoration for Low-Resource Manchu Historical Documents

arXiv:2610.00315 · cs.CV, cs.AI, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Verification — 42× in this paper · explained in 2 episodes
• Fidelity — 12× in this paper · explained in 2 episodes
• Consistency — 9× in this paper · explained in 3 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Glyph Structure Similarity — 2× in this paper
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Coarse-to-Fine Retrieval-Guided Glyph-Aware Restoration — 1× in this paper
• Computational overhead — 1× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Glyph Restoration Accuracy — 1× in this paper
• Modular Components — 1× in this paper · explained in 2 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Structural Reasoning — 1× in this paper · explained in 2 episodes
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes

Sources

• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
• Unified Diffusion Transformer for High-fidelity Text-Aware Image Restoration
• TextDoctor: Unified Document Image Inpainting via Patch Pyramid Diffusion Models
• DocRevive: A Unified Pipeline for Document Text Restoration
• Learning Transferable Visual Models From Natural Language Supervision
• High-Resolution Image Synthesis with Latent Diffusion Models
• PixelHacker: Image Inpainting with Structural and Semantic Consistency
• EpiAgent: An Agent-Centric System for Ancient Inscription Restoration
• Text Image Inpainting via Global Structure-Guided Diffusion Models

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