Ross ROSS = Recommend OSS · open-source software intelligence for agents

iryoku/smaa

SMAA is a very efficient GPU-based MLAA implementation (DX9, DX10, DX11 and OpenGL), capable of handling subpixel features seamlessly, and featuring an improved and advanced pattern detection & handling mechanism. observed · 2026-08-28

github.com/iryoku/smaa · homepage · C++ · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 5614
  • days_rel: n/a
  • days_push: 784
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1132 stars · 128 forks observed · 2026-08-28

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

SMAA is a GPU-based subpixel morphological antialiasing implementation for DX9, DX10, DX11, and OpenGL, published as shader code (HLSL/GLSL) with precomputed lookup textures. It handles subpixel features and uses advanced pattern detection to avoid antialiasing non-edge texture details.

Use cases

  • antialias edges in a real-time game renderer
  • integrate post-process antialiasing into a DirectX 9/10/11 engine
  • add SMAA to an OpenGL or GLSL rendering pipeline
  • combine morphological antialiasing with multisampling or supersampling
  • reduce jaggies without blurring texture details

When to choose

  • you need efficient GPU post-processing antialiasing across DX9-DX11 and OpenGL
  • you want MSAA-like quality at post-process cost
  • you need subpixel edge handling and conservative pattern detection

When to avoid

  • you need temporal upscaling or modern TAA-style reconstruction
  • your engine already ships a newer antialiasing stack
  • you need an actively developed solution with frequent updates

Facets

library · maturity maintenance

graphics image-processing graphics cpp cross-platform antialiasing smaa mlaa hlsl glsl directx opengl post-processing real-time-rendering game-development gpu

2 sources

Member repositories

RepositoryRoleHealth v2
iryoku/smaamain32

For agents

markdown · JSON · MCP: product_card(name="iryoku/smaa")

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