InstanceControl uses VLMs to auto-generate instance masks from text and visual conditions, with adaptive refinement, to enable controllable multi-object image generation without manual labeling.
Cocktail: Mixing multi-modality controls for text-conditional image generation
2 Pith papers cite this work. Polarity classification is still indexing.
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ROPA augments bimanual imitation learning datasets by generating synthetic RGB-D observations and actions via fine-tuned diffusion models with physical consistency constraints.
citing papers explorer
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InstanceControl: Controllable Complex Image Generation without Instance Labeling
InstanceControl uses VLMs to auto-generate instance masks from text and visual conditions, with adaptive refinement, to enable controllable multi-object image generation without manual labeling.
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ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation
ROPA augments bimanual imitation learning datasets by generating synthetic RGB-D observations and actions via fine-tuned diffusion models with physical consistency constraints.