The Camera Inside the Editor: Reading the Implicit Camera of Image Editors with Painted Calibration Patterns

arXiv:2609.37732 · cs.CV, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Calibration — 14× in this paper · explained in 7 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 7× in this paper
• Benchmark — 6× in this paper · explained in 2 episodes
• Generative Model — 5× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 3 episodes
• Digital Twin — 3× in this paper · explained in 5 episodes
• Distillation — 3× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• European Conference on Computer Vision — 1× in this paper
• Flow Matching — 1× in this paper · explained in 8 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes

Sources

• FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
• Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model
• Generative Models: What Do They Know? Do They Know Things? Let's Find Out!
• Image Generators are Generalist Vision Learners
• LTX-2: Efficient Joint Audio-Visual Foundation Model
• Open-Source Image Editing Models Are Zero-Shot Vision Learners
• LongCat-Image Technical Report
• Qwen-Image Technical Report
• OmniGen2: Towards Instruction-Aligned Multimodal Generation
• SpatialEdit: Benchmarking Fine-Grained Image Spatial Editing

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