InstanceControl: Controllable Complex Image Generation without Instance Labeling
Controllable image generation methods, such as ControlNet, have demonstrated a remarkable capacity to introduce visual conditions(e.g., depth maps) to guide image generation. However, these methods often struggle with complex multi-instance scenes, frequently leading to attribute confusion among instances. While recent approaches attempt to mitigate this via manual instance labeling, such requirements are labor-intensive. In this paper, we propose InstanceControl, a novel multi-instance controllable generation method that eliminates the need for instance labeling. We identify the primary bottl
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- FuzzySimilar title/name (fuzzy) · 87%lllyasviel/ControlNet →
“Fuzzy title match (0.94): “InstanceControl: Controllable Complex Image Generation witho” ≈ “lllyasviel/ControlNet””
- FuzzySimilar title/name (fuzzy) · 87%lllyasviel/ControlNet-v1-1 →
“Fuzzy title match (0.94): “InstanceControl: Controllable Complex Image Generation witho” ≈ “lllyasviel/ControlNet-v1-1””
- FuzzySimilar title/name (fuzzy) · 59%Tongyi-MAI/Z-Image-Turbo →
“Fuzzy title match (0.73): “InstanceControl: Controllable Complex Image Generation witho” ≈ “Tongyi-MAI/Z-Image-Turbo””
- FuzzySimilar title/name (fuzzy) · 87%CVHub520/X-AnyLabeling →
“Fuzzy title match (0.94): “InstanceControl: Controllable Complex Image Generation witho” ≈ “CVHub520/X-AnyLabeling””
- FuzzySimilar title/name (fuzzy) · 87%google-deepmind/dm_control →
“Fuzzy title match (0.94): “InstanceControl: Controllable Complex Image Generation witho” ≈ “google-deepmind/dm_control””
- FuzzySimilar title/name (fuzzy) · 59%builderz-labs/mission-control →
“Fuzzy title match (0.73): “InstanceControl: Controllable Complex Image Generation witho” ≈ “builderz-labs/mission-control””