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Fyusion/LLFF

Code release for Local Light Field Fusion at SIGGRAPH 2019 observed · 2026-08-28

github.com/Fyusion/LLFF · homepage · C++ · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2680
  • days_rel: n/a
  • days_push: 1171
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1703 stars · 251 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LLFF (Local Light Field Fusion) is a TensorFlow implementation of the SIGGRAPH 2019 paper for novel view synthesis from sparse input images using multi-plane images (MPIs). It includes pretrained models, COLMAP-based camera pose recovery, and Docker-based setup for rendering novel views and videos.

Use cases

  • render novel views of a scene from a few photos
  • generate 3D parallax videos from image sets
  • recover camera poses with COLMAP and synthesize views
  • reproduce Local Light Field Fusion research results
  • generate multi-plane images from posed images

When to avoid

  • you need actively maintained code or modern frameworks (PyTorch, recent CUDA)
  • you want real-time or production-grade rendering
  • you cannot use NVIDIA GPUs with nvidia-docker

Facets

library · maturity maintenance

machine-learning deep-learning image-processing graphics computer-vision graphics deep-learning machine-learning python view-synthesis light-field novel-view-synthesis multi-plane-images tensorflow colmap siggraph-2019 research-code linux docker gpu

6 sources

Member repositories

RepositoryRoleHealth v2
Fyusion/LLFFmain32

For agents

markdown · JSON · MCP: product_card(name="Fyusion/LLFF")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem