AI RESEARCH
GO-Renderer: Generative Object Rendering with 3D-aware Controllable Video Diffusion Models
arXiv CS.CV
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ArXi:2603.23246v1 Announce Type: new Reconstructing a renderable 3D model from images is a useful but challenging task. Recent feedforward 3D reconstruction methods have nstrated remarkable success in efficiently recovering geometry, but still cannot accurately model the complex appearances of these 3D reconstructed models. Recent diffusion-based generative models can synthesize realistic images or videos of an object using reference images without explicitly modeling its appearance, which provides a promising direction for object rendering, but lacks accurate control over the viewpoints.