OGIex

• OGIex are scripts from building a docker image to running a demo of paper implementations by three or fewer commands and works.
• For example, you can get a prediction result of stable-dreamsfusion by two commands:

  # stage 1: build a docker image and start a docker container.
  bash docker_buildrun.sh
  # stage 2: predict a 3D object from a text (a hamburger), and then output a result into output dir (outputs/hamburger).
  bash text_to_novelview.sh "a hamburger" outputs/hamburger

How to use

1. Git clone this repository:

   git clone https://github.com/Obarads/OGIex.git

2. Select a method that you want to run from the Script dir list section, and then move current dir to the method dir. For example, if you want to run stable-dreamsfusion, you can run the following command:

   cd OGIex/scripts/stable-dreamfusion

3. Run the commands in a README.md of the method dir. For example, you can run a demo of stable-dreamsfusion by two commands:

   # stage 1: build a docker image and start a docker container.
   bash docker_buildrun.sh
   
   # stage 2: predict a 3D object from a text (a hamburger), and then output a result into output dir (outputs/hamburger).
   bash text_to_novelview.sh "a hamburger" outputs/hamburger

Script dir list

The list of available scripts is below. Dirname, Code, and Paper columns denote script directory links, implementation links, and article links, respectively.

Dirname	Code	Paper	status
1~0
4dfy	Official	4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling	o
C・c
CoDeF	Official	CoDeF: Content Deformation Fields for Temporally Consistent Video Processing	o
colmap	Official	Pixelwise View Selection for Unstructured Multi-View Stereo	x
Customize-it-3D	Official	Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior	-
D・c
dreamgaussian	Official	DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation	o
DreamPropeller	Official	DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling	-
E・e
En3D	Official	En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data	o
G・g
gaussian-splatting	Official	3D Gaussian Splatting for Real-Time Radiance Field Rendering	o
H・h
HarmonyView	Official	HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D	o
L・l
LucidDreamer	Official	LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching	o
luciddreamer-cvlab_LucidDreamer	Official	LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes	x
M・m
Make-It-3D	Official	Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior	o
MM-Diffusion	Official	MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation	o
N・n
nerfstudio	Official	Nerfstudio: A Modular Framework for Neural Radiance Field Development	x
O・o
One-2-3-45	Ofiicial	One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization	o
P・p
Point-Bind_Point-LLM	Official	Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following	o
point-e	Official	Point-E: A System for Generating 3D Point Clouds from Complex Prompts	o
R・r
realfusion	Official	RealFusion: 360° Reconstruction of Any Object from a Single Image	o
richdreamer	Official	RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D	x
S・s
shap-e	Official	Shap-E: Generating Conditional 3D Implicit Functions	o
stable-dreamfusion	Unofficial	DreamFusion: Text-to-3D using 2D Diffusion	o
SyncDreamer	Official	SyncDreamer: Generating Multiview-consistent Images from a Single-view Image	x
T・t
text2room	Official	Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models	o
threestudio	Official	threestudio	o
TripoSR	Official	TripoSR: Fast 3D Object Reconstruction from a Single Image	o
W・w
Wonder3D	Official	Wonder3D: Single Image to 3D using Cross-Domain Diffusion	o
X・x
X-Dreamer	Official	X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation	o
Z・z
zero123	Official	Zero-1-to-3: Zero-shot One Image to 3D Object	o
zero123plus	Official	Zero123++: A Single Image to Consistent Multi-view Diffusion Base Model	o