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3D Generation

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/1yimingzhong/dreamlcm

공식 코드

DreamLCM: Towards High-Quality Text-to-3D Generation via Latent Consistency Model

https://github.com/3DTopia/GPTEval3D

공식 코드

GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation

https://github.com/3DTopia/ThemeStation

공식 코드

ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars

https://github.com/3dtopia/3dtopia

공식 코드

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

https://github.com/Adamdad/hash3D

공식 코드

Hash3D: Training-free Acceleration for 3D Generation

https://github.com/AvaLovelace1/LegoGPT

공식 코드

Generating Physically Stable and Buildable LEGO Designs from Text

https://github.com/Costwen/Ouroboros3D

공식 코드

Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion

https://github.com/EnVision-Research/Kiss3DGen

공식 코드

Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation

https://github.com/GAInuist/ConsDreamer

공식 코드

ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation

https://github.com/Jumponthemoon/WeatherEdit

공식 코드

WeatherEdit: Controllable Weather Editing with 4D Gaussian Field

https://github.com/JunzheJosephZhu/HiFA

공식 코드

HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance

https://github.com/KU-CVLAB/3DFuse

공식 코드

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

https://github.com/KU-CVLAB/RetDream

공식 코드

Retrieval-Augmented Score Distillation for Text-to-3D Generation

https://github.com/LMozart/ECCV2024-GCS-BEG

공식 코드

Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation

https://github.com/Lakonik/MVEdit

공식 코드

Generic 3D Diffusion Adapter Using Controlled Multi-View Editing

https://github.com/Lakonik/SSDNeRF

공식 코드

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

https://github.com/Microsoft/TRELLIS

공식 코드

Structured 3D Latents for Scalable and Versatile 3D Generation

https://github.com/SkyworkAI/Gamba

공식 코드

Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction

https://github.com/TCXX/ObjaversePlusPlus

공식 코드

Objaverse++: Curated 3D Object Dataset with Quality Annotations

https://github.com/THU-LYJ-Lab/T3Bench

공식 코드

T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation

https://github.com/Texaser/MTN

공식 코드

Progressive Text-to-3D Generation for Automatic 3D Prototyping

https://github.com/VAST-AI-Research/TripoSG

공식 코드

TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models

https://github.com/WU-CVGL/MVControl-threestudio

공식 코드

Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting

https://github.com/Yan-Xia/RealPoint3D

공식 코드

RealPoint3D: Point Cloud Generation from a Single Image with Complex Background

https://github.com/Ysz2022/Fourier123

공식 코드

Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation

https://github.com/acharkq/next-mol

공식 코드

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation

https://github.com/akirahero/diffindscene

공식 코드

DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation

https://github.com/aleeehu/world-simulator

공식 코드

Simulating the Real World: A Unified Survey of Multimodal Generative Models

https://github.com/alexzhou907/dreampropeller

공식 코드

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling

https://github.com/alibaba-yuanjing-aigclab/geolrm

공식 코드

GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation

https://github.com/anciukevicius/renderdiffusion

공식 코드

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation

https://github.com/baaivision/GeoDream

공식 코드

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation

https://github.com/baaivision/See3D

공식 코드

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale

https://github.com/baaivision/uni3d

공식 코드

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation

https://github.com/boqian-li/GarmentDreamer

공식 코드

GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details

https://github.com/buaacyw/it3d-text-to-3d

공식 코드

IT3D: Improved Text-to-3D Generation with Explicit View Synthesis

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