awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descoperă cele mai bune repository-uri open source cu căutare AI.

ExploreazăCăutări recomandateAlternative open-sourceSoftware self-hostedBlogHartă site
ProiectServer MCPDespreCum realizăm clasamentulPresă
LegalConfidențialitateTermeni
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

5 repository-uri

Awesome GitHub RepositoriesCompositional Modeling

Methods for decomposing scenes into individual objects or components.

Explore 5 awesome GitHub repositories matching part of an awesome list · Compositional Modeling. Refine with filters or upvote what's useful.

Awesome Compositional Modeling GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • kai-46/nerfplusplusAvatar Kai-46

    Kai-46/nerfplusplus

    942Vezi pe GitHub↗

    improves over nerf in 360 capture of unbounded scenes

    Analyzes and improves radiance field composition.

    Python
    Vezi pe GitHub↗942
  • zhuhao-nju/mofanerfAvatar zhuhao-nju

    zhuhao-nju/mofanerf

    211Vezi pe GitHub↗

    MoFaNeRF: Morphable Facial Neural Radiance Field (ECCV2022)

    Models facial radiance fields using morphable components.

    Python
    Vezi pe GitHub↗211
  • kovenyu/uorfAvatar KovenYu

    KovenYu/uORF

    175Vezi pe GitHub↗

    Unsupervised Discovery of Object Radiance Fields

    Discovers object radiance fields in an unsupervised manner.

    Python
    Vezi pe GitHub↗175
  • cameronosmith/colfAvatar cameronosmith

    cameronosmith/COLF

    27Vezi pe GitHub↗

    Compositional Object Light Fields code

    Discovers and composes object light fields.

    Python
    Vezi pe GitHub↗27
  • michguo/osfAvatar michguo

    michguo/osf

    16Vezi pe GitHub↗

    Learning Object-centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition

    Models neural scattering functions for scene composition.

    Python
    Vezi pe GitHub↗16
  1. Home
  2. Part of an Awesome List
  3. AI & Machine Learning
  4. Compositional Modeling