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cs.CV2026
GO-Renderer: Generative Object Rendering with 3D-aware Controllable Video Diffusion Models
Zekai Gu, Shuoxuan Feng, Yansong Wang +6
Reconstructing a renderable 3D model from images is a useful but challenging task. Recent feedforward 3D reconstruction methods have demonstrated remarkable success in efficiently…
cs.CV2026
RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation
Hanzhuo Huang, Qingyang Bao, Zekai Gu +4
In this paper, we propose a 3D asset-referenced diffusion model for image generation, exploring how to integrate 3D assets into image diffusion models. Existing reference-based ima…