A Bit Too Much? High Speed Imaging from Sparse Photon Counts
원문 초록
Recent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon. Photon counting sensors are being increasingly used in many diverse applications. We address the problem of jointly recovering spatial and temporal scene radiance from very few photon counts. Our ConvNet-based scheme effectively combines spatial and temporal information present in measurements to reduce noise. We demonstrate that using our method one can acquire videos at a high frame rate and still achieve good quality signal-to-noise ratio. Experiments show that the proposed scheme performs quite well in different challenging scenarios while the existing approaches are unable to handle them.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Scaling Laws of Dynamic High-Capacity Ride-Sharing
CUTS+: High-dimensional Causal Discovery from Irregular Time-series
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulators
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents
High-Fidelity 3D Face Generation from Natural Language Descriptions
토론
이 논문과 연결된 포럼 글이 아직 없습니다.