VIEScore2: Unified Image Evaluation with Spatially Grounded Explanations

arXiv:2610.00994 · cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• GRPO — 79× in this paper · explained in 6 episodes
• Benchmark — 15× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Consistency — 12× in this paper · explained in 3 episodes
• Fine-Tuning — 12× in this paper · explained in 5 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Ablation — 8× in this paper · explained in 1 episode
• Fidelity — 6× in this paper · explained in 2 episodes
• Supervised Fine-Tuning — 6× in this paper
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Grounding — 4× in this paper · explained in 3 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Supervised Fine-Tuning (SFT) — 2× in this paper · explained in 8 episodes
• Verifiable Rewards — 2× in this paper · explained in 2 episodes
• Vision-Language Model (VLM) — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Alignment Scores — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Qwen3-VL Technical Report
• LoRA: Low-Rank Adaptation of Large Language Models
• Text4Seg: Reimagining Image Segmentation as Text Generation
• Evaluating Text-to-Visual Generation with Image-to-Text Generation
• Visual-RFT: Visual Reinforcement Fine-Tuning
• OmniQuality-R: Advancing Reward Models Through All-Encompassing Quality Assessment
• A Unified Agentic Framework for Evaluating Conditional Image Generation
• Detecting Human Artifacts from Text-to-Image Models
• Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
• Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback

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