Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images

arXiv:2609.36882 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-10-01

Code: https://github.com/Tencent-Hunyuan/HunyuanImage-3.0

Terminology

Trace — 14× in this paper · explained in 2 episodes
Benchmark — 13× in this paper · explained in 2 episodes
Calibration — 12× in this paper · explained in 7 episodes
Generalization — 12× in this paper · explained in 13 episodes
Reconstruction Error — 10× in this paper · explained in 2 episodes
Adaptation — 8× in this paper · explained in 1 episode
Domain Adaptation — 7× in this paper · explained in 5 episodes
Diffusion Model — 6× in this paper · explained in 8 episodes
Regularization — 6× in this paper · explained in 3 episodes
Embeddings — 5× in this paper · explained in 2 episodes
Ablation — 4× in this paper · explained in 1 episode
Aggregation — 4× in this paper · explained in 1 episode
Consistency — 4× in this paper · explained in 3 episodes
Diffusion Models — 4× in this paper · explained in 6 episodes
Robustness — 3× in this paper · explained in 5 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
Feature Extraction — 2× in this paper · explained in 2 episodes
Generative Model — 2× in this paper · explained in 2 episodes
Generative Models — 2× in this paper · explained in 2 episodes
Latent Diffusion Model — 2× in this paper · explained in 2 episodes
Multiple Instance Learning (MIL) — 2× in this paper · explained in 2 episodes
Sparsity — 2× in this paper · explained in 4 episodes
Transformer — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Distribution Shift — 1× in this paper · explained in 5 episodes
Explainability — 1× in this paper · explained in 3 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Instance Segmentation — 1× in this paper · explained in 3 episodes
Latent Diffusion Models — 1× in this paper · explained in 2 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Self-consistency — 1× in this paper · explained in 2 episodes
Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes

Sources

OmniGen: Unified Image Generation

Terminology

Sources

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