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
Dual-Tuned Experts (DTEs), a two-stage training strategy that first learns prompts and then fine-tunes the vision encoder, is introduced, a two-stage training strategy that reduces the magnitude of task-specific parameter updates and produces experts with higher merge compatibility.
Christos Georgakilas, Aniello Panariello, Samir El Karrat Moreno et al.· arXiv.org· 0 citations
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