InsHuman: Towards Natural and Identity-Preserving Human Insertion

arXiv:2605.07402 · cs.CV · Submitted 2026-05-08 · Read on arXiv

cs.CV

Submitted: 2026-05-08

Updated: 2026-10-13

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Diffusion Model — 10× in this paper · explained in 8 episodes
• Diffusion Models — 9× in this paper · explained in 6 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Face-to-Face ID-Preserving — 6× in this paper
• Generalization — 5× in this paper · explained in 13 episodes
• Human-Background Adaptive Fusion — 5× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Ablation study — 4× in this paper · explained in 1 episode
• Adaptation — 4× in this paper · explained in 1 episode
• Bidirectional Data Pairing — 4× in this paper
• Fidelity — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Structural Integrity — 3× in this paper · explained in 3 episodes
• ACM Transactions on Graphics — 2× in this paper
• Affordance — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Failure Rate — 1× in this paper
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• DreamOmni2: Multimodal Instruction-based Editing and Generation
• HunyuanImage 3.0 Technical Report
• OmniGen2: Towards Instruction-Aligned Multimodal Generation
• Qwen-Image Technical Report
• FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
• CrowdHuman: A Benchmark for Detecting Human in a Crowd
• YOLOv12: Attention-Centric Real-Time Object Detectors

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