NeurIPS 2023 accepted papers on Image generation
253 of the 3,584 papers accepted at NeurIPS 2023 (7.1%) are on Image generation, compared with 3.0% at NeurIPS 2022. They fall into 7 topics.
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Topics and papers
Fast diffusion sampling · 87 papers
- ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (159 citations)
- Emergent Correspondence from Image Diffusion (53 citations)
- A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence (49 citations)
- DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization (34 citations)
- Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence (33 citations)
- UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models (33 citations)
- DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models (32 citations)
- Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models (32 citations)
- Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion (31 citations)
- DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model (26 citations)
- Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision (23 citations)
- Structural Pruning for Diffusion Models (23 citations)
and 75 more in the interactive map.
Autoregressive and latent generation · 60 papers
- High-Fidelity Audio Compression with Improved RVQGAN (101 citations)
- Simple and Controllable Music Generation (67 citations)
- GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image (55 citations)
- Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images (54 citations)
- DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data (46 citations)
- Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale (45 citations)
- Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors (40 citations)
- Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images (31 citations)
- CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography (30 citations)
- Any-to-Any Generation via Composable Diffusion (29 citations)
- Crystal Structure Prediction by Joint Equivariant Diffusion (26 citations)
- A Unified Framework for U-Net Design and Analysis (25 citations)
and 48 more in the interactive map.
Text-to-image diffusion · 52 papers
- ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation (108 citations)
- Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation (99 citations)
- GenEval: An object-focused framework for evaluating text-to-image alignment (80 citations)
- BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing (65 citations)
- Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models (65 citations)
- LayoutGPT: Compositional Visual Planning and Generation with Large Language Models (62 citations)
- T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation (47 citations)
- Subject-driven Text-to-Image Generation via Apprenticeship Learning (44 citations)
- Diffusion Self-Guidance for Controllable Image Generation (42 citations)
- Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery (40 citations)
- RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths (40 citations)
- Optimizing Prompts for Text-to-Image Generation (38 citations)
and 40 more in the interactive map.
Image restoration · 23 papers
- Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise (103 citations)
- PromptIR: Prompting for All-in-One Image Restoration (85 citations)
- Global Structure-Aware Diffusion Process for Low-light Image Enhancement (78 citations)
- Lossy Image Compression with Conditional Diffusion Models (30 citations)
- Hierarchical Integration Diffusion Model for Realistic Image Deblurring (29 citations)
- A Unified Conditional Framework for Diffusion-based Image Restoration (11 citations)
- PromptRestorer: A Prompting Image Restoration Method with Degradation Perception (11 citations)
- Deep Fractional Fourier Transform (10 citations)
- PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising (8 citations)
- StyleGAN knows Normal, Depth, Albedo, and More (6 citations)
- CHAMMI: A benchmark for channel-adaptive models in microscopy imaging (3 citations)
- Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration (3 citations)
and 11 more in the interactive map.
Editing and style transfer · 17 papers
- MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing (61 citations)
- Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry (13 citations)
- CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation (9 citations)
- AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models (8 citations)
- PHOTOSWAP: Personalized Subject Swapping in Images (7 citations)
- Visual Instruction Inversion: Image Editing via Image Prompting (6 citations)
- DiffUTE: Universal Text Editing Diffusion Model (5 citations)
- Conditional Score Guidance for Text-Driven Image-to-Image Translation (4 citations)
- Optimal Transport-Guided Conditional Score-Based Diffusion Model (4 citations)
- Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network (3 citations)
- FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models (3 citations)
- IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI (3 citations)
and 5 more in the interactive map.
GANs · 8 papers
- Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models (8 citations)
- Non-adversarial training of Neural SDEs with signature kernel scores (7 citations)
- Revisiting the Evaluation of Image Synthesis with GANs (3 citations)
- Complexity Matters: Rethinking the Latent Space for Generative Modeling (2 citations)
- Unifying GANs and Score-Based Diffusion as Generative Particle Models (2 citations)
- NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs (1 citation)
- Dynamically Masked Discriminator for GANs
- Learning Modulated Transformation in GANs
Super-resolution · 6 papers
- ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (75 citations)
- Real-World Image Super-Resolution as Multi-Task Learning (5 citations)
- AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution (2 citations)
- Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution (1 citation)
- Spatio-Angular Convolutions for Super-resolution in Diffusion MRI (1 citation)
- Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction
