263 citations · 288 across the 2 of their papers we have counts for
6 papers
3D GAN Inversion for Controllable Portrait Image Animation
Connor Z. Lin, David B. Lindell, Eric R. Chan +1
Millions of images of human faces are captured every single day; but these photographs portray the likeness of an individual with a fixed pose, expression, and appearance. Portrait…
ACORN: Adaptive Coordinate Networks for Neural Scene Representation
Julien N. P. Martel, David B. Lindell, Connor Z. Lin +3
Neural representations have emerged as a new paradigm for applications in rendering, imaging, geometric modeling, and simulation. Compared to traditional representations such as me…
AutoInt: Automatic Integration for Fast Neural Volume Rendering
David B. Lindell, Julien N. P. Martel, Gordon Wetzstein
Numerical integration is a foundational technique in scientific computing and is at the core of many computer vision applications. Among these applications, neural volume rendering…
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman +2
Implicitly defined, continuous, differentiable signal representations parameterized by neural networks have emerged as a powerful paradigm, offering many possible benefits over con…
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path
Christopher A. Metzler, David B. Lindell, Gordon Wetzstein
Non-line-of-sight (NLOS) imaging and tracking is an emerging technology that allows the shape or position of objects around corners or behind diffusers to be recovered from transie…
Sub-picosecond photon-efficient 3D imaging using single-photon sensors
Felix Heide, Steven Diamond, David B. Lindell +1
Active 3D imaging systems have broad applications across disciplines, including biological imaging, remote sensing and robotics. Applications in these domains require fast acquisit…