Alternatives and similar repositories for IDOL:

Users that are interested in IDOL are comparing it to the libraries listed below

• DSaurus / Human4DiT
  This repository is the official implementation of Human4DiT: 360-degree Human Video Generation with 4D Diffusion Transformer.
  ☆83Updated 6 months ago
• GAP-LAB-CUHK-SZ / MVHumanNet
  ☆200Updated 2 months ago
• olivia23333 / E3Gen
  ☆65Updated last month
• SMPLCap / SMPLest-X
  Official code for "SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation"
  ☆109Updated 3 weeks ago
• eckertzhang / HumanRef
  ☆57Updated 6 months ago
• River-Zhang / SIFU
  [CVPR 2024 Highlight] Official repository for paper "SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Re…
  ☆242Updated 6 months ago
• xg-chu / GAGAvatar_track
  [NeurIPS 2024] Generalizable and Animatable Gaussian Head Avatar
  ☆48Updated last month
• y-zheng18 / PhysAvatar
  Official repo for PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations, ECCV 2024
  ☆124Updated 2 months ago
• humansplat / humansplat
  [NeurIPS'24] Official implementation of "HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors"
  ☆135Updated 4 months ago
• longxiang-ai / Human101
  The official implementation of "Human101: Training 100+FPS Human Gaussians in 100s from 1 View".
  ☆111Updated last year
• lhyfst / SphereHead
  Code Repository for Paper "SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation"
  ☆90Updated last month
• tangjiapeng / GAF
  CVPR2025 GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion
  ☆111Updated 4 months ago
• Yukun-Huang / DreamWaltz-G
  Official implementation of the paper "DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion".
  ☆133Updated 5 months ago
• xhuangcv / humannorm
  CVPR 2024: The official implementation of HumanNorm
  ☆194Updated last year
• SiTH-Diffusion / SiTH
  [CVPR 2024] SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion
  ☆167Updated 2 months ago
• oneThousand1000 / Portrait3D
  (SIGGRAPH 2024) Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior
  ☆168Updated 8 months ago
• zju3dv / RelightableAvatar
  [CVPR 2024 (Highlight)] Relightable and Animatable Neural Avatar from Sparse-View Video
  ☆117Updated last year
• tobias-kirschstein / gghead
  [SIGGRAPH ASIA '24] GGHead: Fast and Generalizable 3D Gaussian Heads
  ☆156Updated last week
• yyvhang / SIGMAN_release
  Official PyTorch implementation of SIGMAN
  ☆32Updated 3 weeks ago
• zjwfufu / FateAvatar
  [CVPR 2025] The official repo for "FATE: Full-head Gaussian Avatar with Textural Editing from Monocular Video"
  ☆70Updated 2 months ago
• wenj / GoMAvatar
  Offical codes for "GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh"
  ☆119Updated 10 months ago
• ZhanxyR / SHERT
  [CVPR'24 Oral] Official Pytorch implementation for Semantic Human Mesh Reconstruction with Textures.
  ☆84Updated 6 months ago
• JiahuiLei / GART
  GART: Gaussian Articulated Template Models
  ☆281Updated last year
• jefftan969 / dressrecon
  DressRecon: Freeform 4D Human Reconstruction from Monocular Video (3DV'25 Oral)
  ☆113Updated 2 months ago
• USTC3DV / FlashAvatar-code
  [CVPR 2024] The official repo for FlashAvatar
  ☆201Updated last year
• xiyichen / morphablediffusion
  [CVPR 2024] Official implementation of Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation
  ☆91Updated last month
• humansensinglab / GAS
  GAS: Generative Avatar Synthesis from a Single Image
  ☆35Updated 3 weeks ago
• yufan1012 / MonoGaussianAvatar
  ☆131Updated 7 months ago
• computational-imaging / GSM
  Gaussian Shell Maps for Efficient 3D Human Generation (CVPR 2024)
  ☆219Updated last year
• shad0wta9 / meshavatar
  Code Repository for MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos (ECCV 2024)
  ☆112Updated 5 months ago