Generating high-quality 3D characters from single images remains a significant challenge in digital content creation, particularly due to complex body poses and self-occlusion. In this paper, we present RCM (Rotate your Character Model), an advanced image-to-video diffusion framework tailored for high-quality novel view synthesis (NVS) and 3D character generation. Compared to existing diffusion-based approaches, RCM offers several key advantages: (1) transferring characters with any complex poses into a canonical pose, enabling consistent novel view synthesis across the entire viewing orbit, (2) high-resolution orbital video generation at 1024x1024 resolution, (3) controllable observation positions given different initial camera poses, and (4) multi-view conditioning supporting up to 4 input images, accommodating diverse user scenarios. Extensive experiments demonstrate that RCM outperforms state-of-the-art methods in both novel view synthesis and 3D generation quality.

翻译：从单张图像生成高质量三维角色在数字内容创作中仍是一项重大挑战，这尤其源于复杂的身体姿态和自遮挡问题。本文提出RCM（旋转你的角色模型），这是一种专为高质量新视角合成与三维角色生成而设计的先进图像到视频扩散框架。与现有的基于扩散的方法相比，RCM具有以下关键优势：（1）能够将具有任何复杂姿态的角色转换至规范姿态，从而实现整个观察轨道上一致的新视角合成；（2）能够生成1024x1024分辨率的高清轨道视频；（3）在给定不同初始相机姿态时可控制观察位置；（4）支持多达4张输入图像的多视角条件输入，以适应多样化的用户场景。大量实验表明，RCM在新视角合成和三维生成质量方面均优于现有最先进方法。