38 citations · 80 across the 7 of their papers we have counts for
7 papers
Factorized Motion Fields for Fast Sparse Input Dynamic View Synthesis
Nagabhushan Somraj, Kapil Choudhary, Sai Harsha Mupparaju +1
Designing a 3D representation of a dynamic scene for fast optimization and rendering is a challenging task. While recent explicit representations enable fast learning and rendering…
Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler Solutions
Nagabhushan Somraj, Sai Harsha Mupparaju, Adithyan Karanayil +1
Neural Radiance Fields (NeRF) show impressive performance in photo-realistic free-view rendering of scenes. Recent improvements on the NeRF such as TensoRF and ZipNeRF employ expli…
SimpleNeRF: Regularizing Sparse Input Neural Radiance Fields with Simpler Solutions
Nagabhushan Somraj, Adithyan Karanayil, Rajiv Soundararajan
Neural Radiance Fields (NeRF) show impressive performance for the photorealistic free-view rendering of scenes. However, NeRFs require dense sampling of images in the given scene,…
ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields
Nagabhushan Somraj, Rajiv Soundararajan
Neural radiance fields (NeRF) have achieved impressive performances in view synthesis by encoding neural representations of a scene. However, NeRFs require hundreds of images per s…
Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane Images
Nagabhushan Somraj, Pranali Sancheti, Rajiv Soundararajan
The challenge of graphically rendering high frame-rate videos on low compute devices can be addressed through periodic prediction of future frames to enhance the user experience in…
Revealing Disocclusions in Temporal View Synthesis through Infilling Vector Prediction
Vijayalakshmi Kanchana, Nagabhushan Somraj, Suraj Yadwad +1
We consider the problem of temporal view synthesis, where the goal is to predict a future video frame from the past frames using knowledge of the depth and relative camera motion.…
Understanding the Perceived Quality of Video Predictions
Nagabhushan Somraj, Manoj Surya Kashi, S. P. Arun +1
The study of video prediction models is believed to be a fundamental approach to representation learning for videos. While a plethora of generative models for predicting the future…