VecSet-Edit is the first method to perform high-fidelity mesh editing from a single image by analyzing and manipulating spatial token subsets in a pre-trained VecSet LRM.
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3 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 3years
2026 3verdicts
UNVERDICTED 3roles
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STARFlow2 presents an autoregressive flow-based architecture for unified multimodal text-image generation by interleaving a VLM stream with a TarFlow stream via residual skips and a unified latent space.
Sequential decomposition trained on synthetic editing tasks improves robustness for complex image instructions and transfers to real images via co-training.
citing papers explorer
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VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Image
VecSet-Edit is the first method to perform high-fidelity mesh editing from a single image by analyzing and manipulating spatial token subsets in a pre-trained VecSet LRM.
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STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
STARFlow2 presents an autoregressive flow-based architecture for unified multimodal text-image generation by interleaving a VLM stream with a TarFlow stream via residual skips and a unified latent space.
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Towards Robust Sequential Decomposition for Complex Image Editing
Sequential decomposition trained on synthetic editing tasks improves robustness for complex image instructions and transfers to real images via co-training.