Co-occurring keywords · papers mentioning both
Papers
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
ICML 2024
FaceRSA: RSA-Aware Facial Identity Cryptography Framework
AAAI 2024
FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models
NeurIPS 2024
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
CVPR 2024
FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models
NeurIPS 2024
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
CVPR 2024
Focus Stacking with High Fidelity and Superior Visual Effects
AAAI 2024
Generating Contextual Images for Long-Form Text
COLING 2024
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
NeurIPS 2024
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
NeurIPS 2024
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
CVPR 2024
HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
WACV 2024
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
WACV 2024
High-fidelity Person-centric Subject-to-Image Synthesis
CVPR 2024
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data
CVPR 2024
Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image
CVPR 2024
How Control Information Influences Multilingual Text Image Generation and Editing?
NeurIPS 2024
Improved Distribution Matching Distillation for Fast Image Synthesis
NeurIPS 2024
Integrating View Conditions for Image Synthesis
IJCAI 2024
InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models
CVPR 2024
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation
CVPR 2024
Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
CVPR 2024
Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration
CVPR 2024
LG-VQ: Language-Guided Codebook Learning
NeurIPS 2024
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function
NeurIPS 2024