1 citations · 2 across the 4 of their papers we have counts for
4 papers
VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction
Albert Gassol Puigjaner, Edoardo Mello Rella, Erik Sandström +2
Implicit surfaces via neural radiance fields (NeRF) have shown surprising accuracy in surface reconstruction. Despite their success in reconstructing richly textured surfaces, exis…
iHuman: Instant Animatable Digital Humans From Monocular Videos
Pramish Paudel, Anubhav Khanal, Ajad Chhatkuli +2
Personalized 3D avatars require an animatable representation of digital humans. Doing so instantly from monocular videos offers scalability to broad class of users and wide-scale a…
Deformable Neural Radiance Fields using RGB and Event Cameras
Qi Ma, Danda Pani Paudel, Ajad Chhatkuli +1
Modeling Neural Radiance Fields for fast-moving deformable objects from visual data alone is a challenging problem. A major issue arises due to the high deformation and low acquisi…
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation
Guolei Sun, Yun Liu, Hao Tang +3
The essence of video semantic segmentation (VSS) is how to leverage temporal information for prediction. Previous efforts are mainly devoted to developing new techniques to calcula…