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Found 17 papers, 3 papers with code
Implicit Neural Head Synthesis via Controllable Local Deformation Fields
We build on part-based implicit shape models that decompose a global deformation field into local ones.
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
Volumetric scene representations enable photorealistic view synthesis for static scenes and form the basis of several existing 6-DoF video techniques.
Ranked #1 on
Novel View Synthesis
on DONeRF: Evaluation Dataset
Neural Fields for Structured Lighting
We present an image formation model and optimization procedure that combines the advantages of neural radiance fields and structured light imaging.
SpinCam: High-Speed Imaging via a Rotating Point-Spread Function
High-speed cameras are an indispensable tool used for the slow-motion analysis of scenes.
Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators
Holographic near-eye displays offer unprecedented capabilities for virtual and augmented reality systems, including perceptually important focus cues.
Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection
To mitigate this problem, we propose the Self-Training Multimodal Vehicle Detection Network (ST-MVDNet) which leverages a Teacher-Student mutual learning framework and a simulated sensor noise model used in strong data augmentation for Lidar and Radar.
Dual-Shutter Optical Vibration Sensing
Visual vibrometry is a highly useful tool for remote capture of audio, as well as the physical properties of materials, human heart rate, and more.
Holocurtains: Programming Light Curtains via Binary Holography
Light curtain systems are designed for detecting the presence of objects within a user-defined 3D region of space, which has many applications across vision and robotics.
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
Neural networks can represent and accurately reconstruct radiance fields for static 3D scenes (e. g., NeRF).
Multi-Echo LiDAR for 3D Object Detection
LiDAR sensors can be used to obtain a wide range of measurement signals other than a simple 3D point cloud, and those signals can be leveraged to improve perception tasks like 3D object detection.
Efficient Non-Line-of-Sight Imaging from Transient Sinograms
Non-line-of-sight (NLOS) imaging techniques use light that diffusely reflects off of visible surfaces (e. g., walls) to see around corners.
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
We bring together a diverse set of technologies from NLOS imaging, human pose estimation and deep reinforcement learning to construct an end-to-end data processing pipeline that converts a raw stream of photon measurements into a full 3D human pose sequence estimate.
Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging
However, when imaging multiple NLOS objects, the speckle components due to different objects are superimposed on the virtual bare sensor image, and cannot be analyzed separately for recovering the motion of individual objects.
Non-line-of-sight Imaging with Partial Occluders and Surface Normals
Imaging objects obscured by occluders is a significant challenge for many applications.
Reconstructing Transient Images From Single-Photon Sensors
Computer vision algorithms build on 2D images or 3D videos that capture dynamic events at the millisecond time scale.
Defocus Deblurring and Superresolution for Time-of-Flight Depth Cameras
Continuous-wave time-of-flight (ToF) cameras show great promise as low-cost depth image sensors in mobile applications.
3D Shape and Indirect Appearance by Structured Light Transport
We consider the problem of deliberately manipulating the direct and indirect light flowing through a time-varying, fully-general scene in order to simplify its visual analysis.
