1、GAN/Image Synthesis(图像生成)
- L-MAGIC: Language Model Assisted Generation of Images with Coherence
- CapsFusion: Rethinking Image-Text Data at Scale
- C3Net: Compound Conditioned ControlNet for Multimodal Content Generation
- Scaling Laws of Synthetic Images for Model Training ... for Now
- An edit friendly ddpm noise space: inversion and manipulations
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🏠project - CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation
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🏠project - CapHuman: Capture Your Moments in Parallel Universes
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🏠project - Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles
🏠project - IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
- TexTile: A Differentiable Metric for Texture Tileability
🏠project - SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
- PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
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🏠project - MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
⭐code - Text-Image Alignment for Diffusion-Based Perception
- AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error
- FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
⭐code - It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
⭐code - Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
- ProMark: Proactive Diffusion Watermarking for Causal Attribution
- DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
- GAN
- StyLitGAN: Image-Based Relighting via Latent Control
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🏠project - StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN
- What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
🏠project - Diversity-aware Channel Pruning for StyleGAN Compression
⭐code - Adversarial Score Distillation: When score distillation meets GAN
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🏠project
- StyLitGAN: Image-Based Relighting via Latent Control
- 扩散
- Fixed Point Diffusion Models
🏠project - Diffusion Models Without Attention
- Image Neural Field Diffusion Models
- Functional Diffusion
🏠project - Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
- Learned Representation-Guided Diffusion Models for Large-Image Generation
- ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
- Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
- LightIt: Illumination Modeling and Control for Diffusion Models
- Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner
- MMA-Diffusion: MultiModal Attack on Diffusion Models
- CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images
- Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
- Self-correcting LLM-controlled Diffusion Models
- Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
- SODA: Bottleneck Diffusion Models for Representation Learning
- PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
- Don't drop your samples! Coherence-aware training benefits Conditional diffusion
🏠project - Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture
- DiffLoc: Diffusion Model for Outdoor LiDAR Localization
👍摘要 - EasyDrag: Efficient Point-based Manipulation on Diffusion Models
- Distilling ODE Solvers of Diffusion Models into Smaller Steps
- Cache Me if You Can: Accelerating Diffusion Models through Block Caching
🏠project - Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples
- AAMDM: Accelerated Auto-regressive Motion Diffusion Model
- DeepCache: Accelerating Diffusion Models for Free
🏠project - Diffusion Model Alignment Using Direct Preference Optimization
- Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
- Analyzing and Improving the Training Dynamics of Diffusion Models
- Residual Learning in Diffusion Models
- FreeU: Free Lunch in Diffusion U-Net
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🏠project - VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
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🏠project - Diff-BGM: A Diffusion Model for Video Background Music Generation视频背景音乐生成的扩散模型
- Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models
- Shadow Generation for Composite Image Using Diffusion Model
⭐code - Alchemist: Parametric Control of Material Properties with Diffusion Models
- Orthogonal Adaptation for Modular Customization of Diffusion Models
🏠project扩散模型 - Observation-Guided Diffusion Probabilistic Models
⭐code - TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
⭐code - Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models
- SPAD: Spatially Aware Multi-View Diffusers
🏠project - Structure-Guided Adversarial Training of Diffusion Models
- One-step Diffusion with Distribution Matching Distillation
🏠project - Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
⭐code - Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
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🏠project
- Fixed Point Diffusion Models