Papers with Code 아카이브
Text to Image Generation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CharaConsist: Fine-Grained Consistent Character Generation
Evaluating Attribute Confusion in Fashion Text-to-Image Generation
NeoBabel: A Multilingual Open Tower for Visual Generation
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer
Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures
UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis
Ovis-U1 Technical Report
Rethink Sparse Signals for Pose-guided Text-to-image Generation
XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation
DreamAnywhere: Object-Centric Panoramic 3D Scene Generation
Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation
Diffusion Tree Sampling: Scalable inference-time alignment of diffusion models
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
Cost-Aware Routing for Efficient Text-To-Image Generation
Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching
Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence
MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning
SAGE: Exploring the Boundaries of Unsafe Concept Domain with Semantic-Augment Erasing
Consistent Story Generation with Asymmetry Zigzag Sampling
DreamCS: Geometry-Aware Text-to-3D Generation with Unpaired 3D Reward Supervision
Re-Thinking the Automatic Evaluation of Image-Text Alignment in Text-to-Image Models
R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation
VIVAT: Virtuous Improving VAE Training through Artifact Mitigation
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
AI-powered Contextual 3D Environment Generation: A Systematic Review
Solving Inverse Problems with FLAIR
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
PointT2I: LLM-based text-to-image generation via keypoints
Unlocking Aha Moments via Reinforcement Learning: Advancing Collaborative Visual Comprehension and Generation
ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary
ComposeAnything: Composite Object Priors for Text-to-Image Generation
Implicit Inversion turns CLIP into a Decoder
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation
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