Recent advances in rectified flow-based image-to-3D generative models have enabled high-fidelity 3D asset generation. Building on this, a growing line of work has exploited these strong 3D priors for training-free stylization, transferring visual attributes from a reference image onto a generated 3D asset. However, exi...
Tao Wu, Alex Gomez-Villa, Sen-Mao Li et al.· 0 citations
Recent diffusion-based pipelines have achieved promising progress in image-to-3D synthesis. However, generating high-fidelity details remains challenging, especially when the input image contains rich details. Existing approaches often rely on globally encoded conditioning features, which compress spatial information a...
Jun-Yu Li, Qiu-Yu Chen, Peng-Cheng Wang et al.· 0 citations
A correspondence theorem is proved that under the standard constant-noise encoder model and successful SIGReg enforcement, the gap vanishes, the objective becomes an exact information bottleneck, the surprise bound is preserved, and the latent goal cost becomes an exact proxy for AIF pragmatic value.
Fabio Arnez, Alex Gomez-Villa· arXiv.org· 1 citation
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