no code implementations • 2 Apr 2024 • Yunzhi Zhang, Zizhang Li, Amit Raj, Andreas Engelhardt, Yuanzhen Li, Tingbo Hou, Jiajun Wu, Varun Jampani
The framework optimizes for the canonical representation together with the pose for each input image, and a per-image coordinate map that warps 2D pixel coordinates to the 3D canonical frame to account for the shape matching.
no code implementations • 18 Jan 2024 • Andreas Engelhardt, Amit Raj, Mark Boss, Yunzhi Zhang, Abhishek Kar, Yuanzhen Li, Deqing Sun, Ricardo Martin Brualla, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani
We present SHINOBI, an end-to-end framework for the reconstruction of shape, material, and illumination from object images captured with varying lighting, pose, and background.
no code implementations • 3 Jan 2024 • Jan-Niklas Dihlmann, Andreas Engelhardt, Hendrik Lensch
Advances in image diffusion models have recently led to notable improvements in the generation of high-quality images.
1 code implementation • 31 May 2022 • Mark Boss, Andreas Engelhardt, Abhishek Kar, Yuanzhen Li, Deqing Sun, Jonathan T. Barron, Hendrik P. A. Lensch, Varun Jampani
Our method works on in-the-wild online image collections of an object and produces relightable 3D assets for several use-cases such as AR/VR.