Dec 7, 2023 · We introduce Free3D, a simple accurate method for monocular open-set novel view synthesis (NVS). Similar to Zero-1-to-3, we start from a pre-trained 2D image ...

Given a single-view image, the proposed Free3D synthesizes correct novel views without the need of an explicit 3D representation. Usage. Installation. # create ...

(iv) We demonstrate empirically that Free3D achieves consistent NVS without needing a 3D representa- tion and outperforms the existing state-of-the-art models ...

To achieve a consistent novel view synthesis without the need for 3D representation, (b) we first propose a novel ray conditional normalization (RCN) layer, ...

Given a single input view, Free3D synthesizes consistent 360◦ views accurately without using an explicit 3D representation. Trained on Objaverse only, it ...

In this paper, we introduce Free3D, a simple, flexible, and efficient method that can also achieve consistent NVS results without the need to rely on a resource ...

We introduce Free3D, a simple accurate method for monocular open-set novel view synthesis (NVS). Similar to Zero-1-to-S, we start from a pre-trained 2D image ...

The supplementary materials are organized as follows: • A video to illuminate our work and the rendered videos. • Introduction for the baseline diffusion model.

Free3D: Consistent Novel View Synthesis without 3D Representation. C. Zheng ... We introduce Free3D, a simple approach designed for open-set novel view synthesis ...

This paper introduces Free3D, a simple and efficient method for consistent novel view synthesis from a single image without relying on an explicit 3D ...