TransPhy: Visual In-Context Learning for Physically Grounded Image Editing

arXiv:2608.24119 · cs.CV, cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-25

Updated: 2026-08-25

Terminology

• Alignment — 13× in this paper · explained in 1 episode
• Benchmark — 12× in this paper · explained in 2 episodes
• Generalization — 11× in this paper · explained in 13 episodes
• In-Context Learning — 8× in this paper · explained in 4 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Ablation — 4× in this paper · explained in 1 episode
• Benchmarking — 4× in this paper · explained in 3 episodes
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Content Preservation — 2× in this paper
• State-Transition Capturer — 2× in this paper
• Decoupling — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Learned Perceptual Image Patch Similarity — 1× in this paper
• Provenance — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Rule Plausibility — 1× in this paper
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Transition Accuracy — 1× in this paper
• Verification — 1× in this paper · explained in 2 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
• InstructPix2Pix: Learning to Follow Image Editing Instructions
• Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision
• Edit Transfer: Learning Image Editing via Vision In-Context Relations
• Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
• PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
• Emerging Properties in Unified Multimodal Pretraining
• Is This Edit Correct? A Multi-Dimensional Benchmark for Reasoning-Aware Image Editing
• DiT4Edit: Diffusion Transformer for Image Editing
• RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers
• Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model
• PhyEditBench: A Real-World Multi-Stage Benchmark for Physics-Aware Image Editing
• UniREditBench: A Unified Reasoning-based Image Editing Benchmark
• Customizing Text-to-Image Models with a Single Image Pair
• VIRAL: Visual In-Context Reasoning via Analogy in Diffusion Transformers
• VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
• WorldEdit: Towards Open-World Image Editing with a Knowledge-Informed Benchmark
• PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models
• PairEdit: Learning Semantic Variations for Exemplar-based Image Editing
• Spanning the Visual Analogy Space with a Weight Basis of LoRAs

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