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Conditional Image Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 11
- 보존된 평가 기록
- 75
Conditional image generation is the task of generating new images from a dataset conditional on their class.
<span style="color:grey; opacity: 0.6">( Image credit: PixelCNN++ )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
HOI-PAGE: Zero-Shot Human-Object Interaction Generation with Part Affordance Guidance
Forward-only Diffusion Probabilistic Models
Context-Aware Autoregressive Models for Multi-Conditional Image Generation
Efficient Flow Matching using Latent Variables
VistaDepth: Frequency Modulation With Bias Reweighting For Enhanced Long-Range Depth Estimation
PRISM: A Unified Framework for Photorealistic Reconstruction and Intrinsic Scene Modeling
PixelFlow: Pixel-Space Generative Models with Flow
A Unified Agentic Framework for Evaluating Conditional Image Generation
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsing
D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens
Di$\mathtt{[M]}$O: Distilling Masked Diffusion Models into One-step Generator
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving
Autoregressive Image Generation with Randomized Parallel Decoding
Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets
OminiControl2: Efficient Conditioning for Diffusion Transformers
DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models
Diffusion Models without Classifier-free Guidance
Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models
G2PDiffusion: Genotype-to-Phenotype Prediction with Diffusion Models
Augmented Conditioning Is Enough For Effective Training Image Generation
Poisson Flow Joint Model for Multiphase contrast-enhanced CT
Compressed Image Generation with Denoising Diffusion Codebook Models
PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation
EditAR: Unified Conditional Generation with Autoregressive Models
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models
Self-control: A Better Conditional Mechanism for Masked Autoregressive Model
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens
Generative Zoo
Normalizing Flows are Capable Generative Models
IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models
AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer
High-Resolution Image Synthesis via Next-Token Prediction
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