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Text prompting is an indirect interface for poster generation, requiring users to encode inherently two-dimensional composition intent into a one-dimensional sequence of words. We introduce a Spatial Canvas Interface that enables users to directly compose generation intent in space through four complementary binding ty...
MegaParts, a scalable autoregressive 3D generation framework to address this challenge by combining structured sequence modeling with a token-efficient vector-quantized shape tokenizer, achieves higher mesh quality than baseline autoregressive and diffusion models and suggests that LLM native token-efficient autoregres...
This work proposes a foundation-feature Gaussian driving world model that unifies scene understanding, language-grounded reasoning, controllable 4D editing, and multi-modal generation within a single framework and introduces a foundation-feature Gaussian tokenizer that directly distills Qwen/SigLIP visual-language feat...
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