SPC to 3D: Novel View Synthesis from Binary SPC via I2I translation
원문 초록
Single Photon Avalanche Diodes (SPADs) represent a cutting-edge imaging technology, capable of detecting individual photons with remarkable timing precision. Building on this sensitivity, Single Photon Cameras (SPCs) enable image capture at exceptionally high speeds under both low and high illumination. Enabling 3D reconstruction and radiance field recovery from such SPC data holds significant promise. However, the binary nature of SPC images leads to severe information loss, particularly in texture and color, making traditional 3D synthesis techniques ineffective. To address this challenge, we propose a modular two-stage framework that converts binary SPC images into high-quality colorized novel views. The first stage performs image-to-image (I2I) translation using generative models such as Pix2PixHD, converting binary SPC inputs into plausible RGB representations. The second stage employs 3D scene reconstruction techniques like Neural Radiance Fields (NeRF) or Gaussian Splatting (3DGS) to generate novel views. We validate our two-stage pipeline (Pix2PixHD + Nerf/3DGS) through extensive qualitative and quantitative experiments, demonstrating significant improvements in perceptual quality and geometric consistency over the alternative baseline.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
HRGS: Hierarchical Gaussian Splatting for Memory-Efficient High-Resolution 3D Reconstruction
Splat and Replace: 3D Reconstruction with Repetitive Elements
ErpGS: Equirectangular Image Rendering enhanced with 3D Gaussian Regularization
SparSplat: Fast Multi-View Reconstruction with Generalizable 2D Gaussian Splatting
Speedy Deformable 3D Gaussian Splatting: Fast Rendering and Compression of Dynamic Scenes
토론
이 논문과 연결된 포럼 글이 아직 없습니다.