MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion

• URL: http://arxiv.org/abs/2510.13702v1
• Date: Wed, 15 Oct 2025 16:00:26 GMT
• Title: MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion
• Authors: Minjung Shin, Hyunin Cho, Sooyeon Go, Jin-Hwa Kim, Youngjung Uh,
• Abstract summary: We introduce a novel task, multi-view customization, which aims to jointly achieve multi-view pose control and customization.<n>We propose MVCustom, a novel diffusion-based framework explicitly designed to achieve both multi-view consistency and customization fidelity.
• Score: 24.513096225720854
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Multi-view generation with camera pose control and prompt-based customization are both essential elements for achieving controllable generative models. However, existing multi-view generation models do not support customization with geometric consistency, whereas customization models lack explicit viewpoint control, making them challenging to unify. Motivated by these gaps, we introduce a novel task, multi-view customization, which aims to jointly achieve multi-view camera pose control and customization. Due to the scarcity of training data in customization, existing multi-view generation models, which inherently rely on large-scale datasets, struggle to generalize to diverse prompts. To address this, we propose MVCustom, a novel diffusion-based framework explicitly designed to achieve both multi-view consistency and customization fidelity. In the training stage, MVCustom learns the subject's identity and geometry using a feature-field representation, incorporating the text-to-video diffusion backbone enhanced with dense spatio-temporal attention, which leverages temporal coherence for multi-view consistency. In the inference stage, we introduce two novel techniques: depth-aware feature rendering explicitly enforces geometric consistency, and consistent-aware latent completion ensures accurate perspective alignment of the customized subject and surrounding backgrounds. Extensive experiments demonstrate that MVCustom is the only framework that simultaneously achieves faithful multi-view generation and customization.

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