Alternatives and similar repositories for depthgan

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

• zju3dv / SINE
  Code for "Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field", CVPR 2023
  ☆125Updated last year
• VITA-Group / INS
  [ECCV2022]"Unified Implicit Neural Stylization" which proposes a unified stylization framework for SIREN, SDF and NeRF
  ☆109Updated 2 years ago
• ztex08010518 / Stylizing-3D-Scene
  ☆56Updated 3 years ago
• Karbo123 / RGBD-Diffusion
  RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
  ☆97Updated 2 years ago
• fukunyin / CoCo-NeRF
  Coordinates are not lonely - Codebook Prior Helps Implicit Neural 3D Representations
  ☆53Updated 2 years ago
• xt4d / SparseGNV
  SparseGNV: Generating Novel Views of Indoor Scenes with Sparse Input Views
  ☆16Updated last year
• skhu101 / ConsistentNeRF
  ConsistentNeRF Enhances Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
  ☆74Updated last year
• qiuyu96 / Carver
  [NeurIPS'23] An efficient PyTorch-based library for training 3D-aware image synthesis models.
  ☆95Updated last year
• QianyiWu / Awesome-Object-Compositional-INR
  A collection of object-compositional modeling by implicit neural representation.
  ☆57Updated 2 years ago
• YixunLiang / ReTR
  Official code of ReTR (NeurIPS 2023)
  ☆45Updated last year
• AnjieCheng / TUVF
  [ICLR'24] This repository is the implementation of "TUVF: Learning Generalizable Texture UV Radiance Fields"
  ☆62Updated last year
• Caoang327 / fwd_code
  CVPR 2022: https://caoang327.github.io/FWD/
  ☆74Updated last year
• hhsinping / stylescene
  ☆41Updated 4 years ago
• raywzy / CAD
  CAD: Photorealistic 3D Generation via Adversarial Distillation (CVPR 2024)
  ☆130Updated last year
• jensenzhoujh / scene-cond-3d
  Scene-Conditional 3D Object Stylization and Composition (ECCV 2024)
  ☆32Updated last year
• JiaxiongQ / NeuS-HSR
  Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections (CVPR 2023)
  ☆62Updated 2 years ago
• dichotomies / N3F
  Official PyTorch Implementation of `Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations`
  ☆119Updated 2 years ago
• zxhuang1698 / ShapeClipper
  Code repository for "ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency" in CVPR 2…
  ☆61Updated 2 years ago
• zhizdev / mvdfusion
  [CVPR 2024] MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation
  ☆123Updated last year
• colorful-liyu / 3DQD
  [CVPR'23] Official PyTorch implementation of 3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
  ☆84Updated last year
• VITA-Group / Aug-NeRF
  [CVPR 2022] "Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations" by Tianlong Chen*, P…
  ☆125Updated 3 years ago
• colorful-liyu / focaldreamer
  [AAAI'24] Official PyTorch implementation of FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly
  ☆34Updated 10 months ago
• lsongx / halo
  ☆15Updated 2 years ago
• donydchen / sem2nerf
  😺 [ECCV'22] Sem2NeRF: Converting Single-View Semantic Masks to NeRFs
  ☆126Updated 3 years ago
• isl-org / objects-with-lighting
  Repository for the Objects With Lighting Dataset
  ☆57Updated 7 months ago
• kcshum / pose-conditioned-NeRF-object-fusion
  Official Github repository for paper "Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates"
  ☆14Updated last year
• QianyiWu / objectsdf_plus
  [ICCV'23] Pytorch implementation of "ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces"
  ☆155Updated last year
• szymanowiczs / viewset-diffusion
  Implementation of `Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data' (ICCV 2023)
  ☆108Updated last year
• KovenYu / ALP
  ☆26Updated 2 years ago
• princeton-vl / SNP
  Official code for View Synthesis with Sculpted Neural Points
  ☆82Updated 2 years ago