315 citations · 1.2k across the 43 of their papers we have counts for
9 papers · 1 filter
Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography
Ilya Chugunov, Yuxuan Zhang, Felix Heide
Modern mobile burst photography pipelines capture and merge a short sequence of frames to recover an enhanced image, but often disregard the 3D nature of the scene they capture, tr…
Neural Volume Super-Resolution
Yuval Bahat, Yuxuan Zhang, Hendrik Sommerhoff +2
Neural volumetric representations have become a widely adopted model for radiance fields in 3D scenes. These representations are fully implicit or hybrid function approximators of…
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection
Geoffroi Côté, Fahim Mannan, Simon Thibault +2
Most camera lens systems are designed in isolation, separately from downstream computer vision methods. Recently, joint optimization approaches that design lenses alongside other c…
Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions
Gene Chou, Yuval Bahat, Felix Heide
Probabilistic diffusion models have achieved state-of-the-art results for image synthesis, inpainting, and text-to-image tasks. However, they are still in the early stages of gener…
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
Jianchuan Ding, Bo Dong, Felix Heide +4
The dynamic membrane potential threshold, as one of the essential properties of a biological neuron, is a spontaneous regulation mechanism that maintains neuronal homeostasis, i.e.…
GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions
Gene Chou, Ilya Chugunov, Felix Heide
We investigate the generalization capabilities of neural signed distance functions (SDFs) for learning 3D object representations for unseen and unlabeled point clouds. Existing met…
Differentiable Point-Based Radiance Fields for Efficient View Synthesis
Qiang Zhang, Seung-Hwan Baek, Szymon Rusinkiewicz +1
We propose a differentiable rendering algorithm for efficient novel view synthesis. By departing from volume-based representations in favor of a learned point representation, we im…
LiDAR Snowfall Simulation for Robust 3D Object Detection
Martin Hahner, Christos Sakaridis, Mario Bijelic +4
3D object detection is a central task for applications such as autonomous driving, in which the system needs to localize and classify surrounding traffic agents, even in the presen…
Pupil-aware Holography
Praneeth Chakravarthula, Seung-Hwan Baek, Florian Schiffers +7
Holographic displays promise to deliver unprecedented display capabilities in augmented reality applications, featuring a wide field of view, wide color gamut, spatial resolution,…