Conclusion. We presented a new approach for space-time
view synthesis from a monocular video depicting a complex
dynamic scene. By representing a dynamic scene within a
volumetric IBR framework, our approach overcomes lim-
itations of recent methods that cannot model long videos
with complex camera and object motion. We have shown
that our method can synthesize photo-realistic novel views
from in-the-wild dynamic videos, and can achieve signiﬁ-
cant improvements over prior state-of-the-art methods on the
dynamic scene benchmarks.

Acknowledgements. Thanks to Andrew Liu, Richard
Bowen and Lucy Chai for the fruitful discussions, and thanks
to Rick Szeliski and Ricardo Martin-Brualla for helpful
proofreading.

DVSHyperNeRFNSFFOursInputReferences
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DynIBaR-NeuralDynamicImage-BasedRendering