Geometry-biased Transformers for Novel View Synthesis

Naveen Venkat*1 Mayank Agarwal*1 Maneesh Singh Shubham Tulsiani1
1Carnegie Mellon University
(* indicates equal contribution)


Qualitative results on heldout objects from training categories




















Qualitative results on heldout objects from training categories.
For each object, we consider V=3 input views and compare the reconstruction quality of each method on novel query views.



Qualitative results on objects from heldout categories










Qualitative results on objects from heldout categories.
For each object, we consider V=3 input views and compare the reconstruction quality of each method on novel query views.
Note that the model has never seen these categories of objects during training.