https://github.com/1yimingzhong/dreamlcm
공식 코드DreamLCM: Towards High-Quality Text-to-3D Generation via Latent Consistency Model
Papers with Code 아카이브
Text to 3D
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Task involves generating 3D objects based on the text prompt provided to the system.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/2y7c3/asd
공식 코드Adversarial Score Distillation: When score distillation meets GAN
https://github.com/3DTopia/GPTEval3D
공식 코드GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation
https://github.com/3dtopia/3dtopia
공식 코드3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors
https://github.com/Adamdad/hash3D
공식 코드https://github.com/AvaLovelace1/LegoGPT
공식 코드Generating Physically Stable and Buildable LEGO Designs from Text
https://github.com/DanaCohen95/Set-the-Scene
공식 코드Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes
https://github.com/EfficientDreamer/EfficientDreamer
공식 코드EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior
https://github.com/EnVision-Research/Kiss3DGen
공식 코드Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation
https://github.com/FreedomIntelligence/BlenderLLM
공식 코드BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement
https://github.com/GAInuist/ConsDreamer
공식 코드ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation
https://github.com/Gorilla-Lab-SCUT/Fantasia3D
공식 코드Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation
https://github.com/JunzheJosephZhu/HiFA
공식 코드HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
https://github.com/KU-CVLAB/3DFuse
공식 코드Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation
https://github.com/KU-CVLAB/RetDream
공식 코드Retrieval-Augmented Score Distillation for Text-to-3D Generation
https://github.com/LMozart/ECCV2024-GCS-BEG
공식 코드Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation
https://github.com/Lakonik/MVEdit
공식 코드Generic 3D Diffusion Adapter Using Controlled Multi-View Editing
https://github.com/One-2-3-45/One-2-3-45
공식 코드One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization
https://github.com/RAIVNLab/GenerateAnyScene
공식 코드Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming
https://github.com/SadilKhan/MARVEL-FX3D
공식 코드MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation
https://github.com/SadilKhan/Text2CAD
공식 코드Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts
https://github.com/TAU-VAILab/Vox-E
공식 코드https://github.com/THU-LYJ-Lab/T3Bench
공식 코드T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation
https://github.com/Texaser/MTN
공식 코드Progressive Text-to-3D Generation for Automatic 3D Prototyping
https://github.com/VITA-Group/NeuralLift-360
공식 코드NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views
https://github.com/WU-CVGL/MVControl-threestudio
공식 코드Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
https://github.com/XiaokunSun/StrandHead
공식 코드StrandHead: Text to Strand-Disentangled 3D Head Avatars Using Hair Geometric Priors
https://github.com/ZedFu/T23DAQA
공식 코드Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and Model
https://github.com/alexzhou907/dreampropeller
공식 코드DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling
https://github.com/aria-zhangjl/e3-facenet
공식 코드https://github.com/ashawkey/stable-dreamfusion
공식 코드https://github.com/baaivision/GeoDream
공식 코드GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
https://github.com/baaivision/uni3d
공식 코드GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation
https://github.com/boqian-li/GarmentDreamer
공식 코드GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details
https://github.com/buaacyw/it3d-text-to-3d
공식 코드IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
https://github.com/crockwell/cap3d
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.