We present Farm3D, a method to learn category-specific 3D reconstructors...
Capitalizing on the recent advances in image generation models, existing...
We consider the problem of learning a function that can estimate the 3D
...
We present ONeRF, a method that automatically segments and reconstructs
...
Capitalizing on the recent advances in image generation models, existing...
With increasing focus on augmented and virtual reality applications (XR)...
Learning deformable 3D objects from 2D images is an extremely ill-posed
...
Recent works have shown exciting results in unsupervised image de-render...
This paper tackles the problem of novel view synthesis (NVS) from 2D ima...
Publicly available satellite imagery can be an ubiquitous, cheap, and
po...
We propose a method to learn 3D deformable object categories from raw
si...
We show that generative models can be used to capture visual geometry
co...
When the input to pix2pix translation is a badly drawn sketch, the outpu...
This paper proposes the first non-flow-based deep framework for high dyn...
This paper proposes the first end-to-end deep framework for high dynamic...