Dynibar: Neural dynamic image-based rendering
We address the problem of synthesizing novel views from a monocular video depicting a
complex dynamic scene. State-of-the-art methods based on temporally varying Neural …
complex dynamic scene. State-of-the-art methods based on temporally varying Neural …
Suds: Scalable urban dynamic scenes
We extend neural radiance fields (NeRFs) to dynamic large-scale urban scenes. Prior work
tends to reconstruct single video clips of short durations (up to 10 seconds). Two reasons …
tends to reconstruct single video clips of short durations (up to 10 seconds). Two reasons …
Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields
Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-
term quest. The task is especially appealing when only a few or even single RGB cameras …
term quest. The task is especially appealing when only a few or even single RGB cameras …
Monocular dynamic view synthesis: A reality check
We study the recent progress on dynamic view synthesis (DVS) from monocular video.
Though existing approaches have demonstrated impressive results, we show a discrepancy …
Though existing approaches have demonstrated impressive results, we show a discrepancy …
Objectsdf++: Improved object-compositional neural implicit surfaces
In recent years, neural implicit surface reconstruction has emerged as a popular paradigm
for multi-view 3D reconstruction. Unlike traditional multi-view stereo approaches, the neural …
for multi-view 3D reconstruction. Unlike traditional multi-view stereo approaches, the neural …
Robustnerf: Ignoring distractors with robust losses
Neural radiance fields (NeRF) excel at synthesizing new views given multi-view, calibrated
images of a static scene. When scenes include distractors, which are not persistent during …
images of a static scene. When scenes include distractors, which are not persistent during …
Interactive segmentation of radiance fields
Radiance Fields (RF) are popular to represent casually-captured scenes for new view
synthesis and several applications beyond it. Mixed reality on personal spaces needs …
synthesis and several applications beyond it. Mixed reality on personal spaces needs …
[HTML][HTML] A critical analysis of nerf-based 3d reconstruction
This paper presents a critical analysis of image-based 3D reconstruction using neural
radiance fields (NeRFs), with a focus on quantitative comparisons with respect to traditional …
radiance fields (NeRFs), with a focus on quantitative comparisons with respect to traditional …
Blending-nerf: Text-driven localized editing in neural radiance fields
Text-driven localized editing of 3D objects is particularly difficult as locally mixing the original
3D object with the intended new object and style effects without distorting the object's form is …
3D object with the intended new object and style effects without distorting the object's form is …
BeyondPixels: A comprehensive review of the evolution of neural radiance fields
Neural rendering combines ideas from classical computer graphics and machine learning to
synthesize images from real-world observations. NeRF, short for Neural Radiance Fields, is …
synthesize images from real-world observations. NeRF, short for Neural Radiance Fields, is …