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Text to Image Generation

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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/2y7c3/asd

공식 코드

Adversarial Score Distillation: When score distillation meets GAN

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

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

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

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

https://github.com/AIDC-AI/CHATS

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CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation

https://github.com/Adamdad/hash3D

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Hash3D: Training-free Acceleration for 3D Generation

https://github.com/AlaaLab/InstructCV

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InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists

https://github.com/AvaLovelace1/LegoGPT

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Generating Physically Stable and Buildable LEGO Designs from Text

https://github.com/Big-Brother-Pikachu/Text2Mask

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From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models

https://github.com/CompVis/net2net

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Network-to-Network Translation with Conditional Invertible Neural Networks

https://github.com/DINGYANB/MUSES

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MUSES: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration

https://github.com/DYEvaLab/EvalMuse

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EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation

https://github.com/DanaCohen95/Set-the-Scene

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Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes

https://github.com/EfficientDreamer/EfficientDreamer

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EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior

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

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Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation

https://github.com/EvelynZhang-epiclab/DaTo

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Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free

https://github.com/FreedomIntelligence/BlenderLLM

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BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement

https://github.com/GAInuist/ConsDreamer

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

https://github.com/Gorilla-Lab-SCUT/Fantasia3D

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Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

https://github.com/HLR/FoREST

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FoREST: Frame of Reference Evaluation in Spatial Reasoning Tasks

https://github.com/HYOJINPARK/MC_GAN

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MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis

https://github.com/HoinJung/Unified-Debiaisng-VLM-SFID

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A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks

https://github.com/IDEA-CCNL/Taiyi-Diffusion-XL

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Taiyi-Diffusion-XL: Advancing Bilingual Text-to-Image Generation with Large Vision-Language Model Support

https://github.com/JindongGu/Awesome-Prompting-on-Vision-Language-Model

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A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

https://github.com/JonP07/Diffusion-PNO

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Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization

https://github.com/JunzheJosephZhu/HiFA

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

https://github.com/KAIST-Visual-AI-Group/GrounDiT

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GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation

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

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

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

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

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

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

https://github.com/Lakonik/MVEdit

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Generic 3D Diffusion Adapter Using Controlled Multi-View Editing

https://github.com/LifuWang-66/DistillT5

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Scaling Down Text Encoders of Text-to-Image Diffusion Models

https://github.com/Luo-Yihong/TDM

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Learning Few-Step Diffusion Models by Trajectory Distribution Matching

https://github.com/MJ-Bench/MJ-Bench

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MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

https://github.com/ML-GSAI/Scaling-Diffusion-Transformers-muP

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Scaling Diffusion Transformers Efficiently via $μ$P

https://github.com/MS-Diffusion/MS-Diffusion

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MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

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