Alternatives and similar repositories for OIDN-python:

Users that are interested in OIDN-python are comparing it to the libraries listed below

• tvogels / pyexr
  One-line EXR IO-library
  ☆119Updated last month
• ssh4net / UnRAWer
  Small GUI utility to Batch process Camera RAW images
  ☆29Updated 2 months ago
• NVIDIA / otk-pyoptix
  Complete Python bindings for the OptiX host API
  ☆53Updated 3 months ago
• jamesbowman / openexrpython
  OpenEXR bindings for Python
  ☆95Updated 2 years ago
• YertleTurtleGit / depth-from-normals
  Estimates a depth mapping from a given normal mapping.
  ☆83Updated 6 months ago
• xilongzhou / Adversarial-Single-Image-SVBRDF-Estimation-with-Hybrid-Training
  ☆16Updated last year
• mortacious / python-optix
  Python wrapper for the OptiX 7 raytracing engine using Cython.
  ☆27Updated last year
• xucao-42 / NormalIntegration
  Official implementation of "Normal Integration via Inverse Plane Fitting," CVPR 2021.
  ☆37Updated 2 years ago
• princeton-computational-imaging / 2in1_camera
  ☆28Updated 8 months ago
• afichet / openexr-viewer
  Simple viewer for OpenEXR files with detailed metadata display
  ☆104Updated last year
• valentin-deschaintre / Single-Image-SVBRDF-Capture-rendering-loss
  Single-Image SVBRDF Capture with a Rendering-Aware Deep Network
  ☆73Updated 4 years ago
• bsavery / BlenderPythonRenderer
  A Python GPU renderer for Blender using the Taichi package
  ☆106Updated 2 years ago
• sanguinariojoe / pip-openexr
  ☆16Updated last year
• compphoto / SIDepth
  ☆40Updated 9 months ago
• mworchel / xatlas-python
  Python bindings for xatlas
  ☆187Updated 3 weeks ago
• wxian3 / NeuroLens
  Code implementation of NeuroLens
  ☆61Updated last year
• taichi-dev / taichi_houdini
  ☆109Updated 3 years ago
• cobanov / depth2normal
  Converts a depth map image to a normal map image using Python
  ☆91Updated 2 years ago
• seddi-research / NEnv
  Official repository of "NEnv: Neural Environment Maps for Global Illumination"
  ☆20Updated last year
• facebookresearch / HairMSNN
  This is the official implementation of our EGSR 2023 paper, Accelerating Hair Rendering by Learning High-Order Scattered Radiance.
  ☆42Updated last year
• mitsuba-renderer / mitsuba-tutorials
  Tutorials and other resources for the Mitsuba 3 library
  ☆57Updated last week
• BeyondRGB / Imaging-Art-beyond-RGB
  ☆36Updated this week
• cheind / py-minexr
  Minimal, standalone, fast Python OpenEXR reader for single-part, uncompressed scan-line files as produced by Blender.
  ☆18Updated 2 years ago
• rubendhz / houdini-gsplat-renderer
  A Gaussian Splat renderer for Houdini's viewport
  ☆109Updated 2 months ago
• valentin-deschaintre / multi-image-deepNet-SVBRDF-acquisition
  Flexible SVBRDF Capture with a Multi-Image Deep Network
  ☆32Updated 4 years ago
• sony / NDJIR
  NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object
  ☆47Updated 2 years ago
• joyDeng / InverseTranslucent
  ☆29Updated 4 months ago
• mworchel / svbrdf-estimation
  SVBRDF Estimation using a Physically-based Differentiable Renderer
  ☆35Updated last year
• beatreichenbach / realflare
  Physically-Based Lens Flare Tool
  ☆63Updated 10 months ago
• EliaFantini / FastNRTF
  Efficient 3D reconstruction and relighting of complex scenes with global illumination effects using Neural Radiance Transfer Fields
  ☆30Updated 2 years ago