activity
20162023
most citedDeepMVS: Learning Multi-view Stereopsis

31 citations · 97 across the 14 of their papers we have counts for

collaborators

15 papers

cs.CV2023

Consistent View Synthesis with Pose-Guided Diffusion Models

Hung-Yu Tseng, Qinbo Li, Changil Kim +3

Novel view synthesis from a single image has been a cornerstone problem for many Virtual Reality applications that provide immersive experiences. However, most existing techniques…

cs.CV2023★ 3 cited

Progressively Optimized Local Radiance Fields for Robust View Synthesis

Andreas Meuleman, Yu-Lun Liu, Chen Gao +4

We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing…

cs.CV2023★ 1 cited

Robust Dynamic Radiance Fields

Yu-Lun Liu, Chen Gao, Andreas Meuleman +6

Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene. Existing methods, however, assume that accurate camera pose…

cs.CV2023★ 1 cited

HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling

Benjamin Attal, Jia-Bin Huang, Christian Richardt +4

Volumetric scene representations enable photorealistic view synthesis for static scenes and form the basis of several existing 6-DoF video techniques. However, the volume rendering…

cs.CV2021★ 11 cited

Learning Neural Light Fields with Ray-Space Embedding Networks

Benjamin Attal, Jia-Bin Huang, Michael Zollhoefer +2

Neural radiance fields (NeRFs) produce state-of-the-art view synthesis results. However, they are slow to render, requiring hundreds of network evaluations per pixel to approximate…

cs.CV2021

Dynamic View Synthesis from Dynamic Monocular Video

Chen Gao, Ayush Saraf, Johannes Kopf +1

We present an algorithm for generating novel views at arbitrary viewpoints and any input time step given a monocular video of a dynamic scene. Our work builds upon recent advances…