CVPR 2024 Past Computer vision
Synthetic Data for Computer Vision Workshop @ CVPR 2024
SynData4CV
- Submission deadline
- Mar 31, 2024, 07:00 UTC imported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (43)
Fetched from OpenReview (v2) on 2026-06-10.
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A Benchmark Synthetic Dataset for C-SLAM in Service Environments
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A Neural Model for High-Performance Scanning Electron Microscopy Image Simulation of Porous Materials
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An Approach to Synthesize Thermal Infrared Ship Images
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Attributed Synthetic Data Generation for Zero-shot Image Classification
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Balancing Quality and Quantity: The Impact of Synthetic Data on Smoke Detection Accuracy in Computer Vision
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Beyond Internet Images: Evaluating Vision-Language Models for Domain Generalization on Synthetic-to-Real Industrial Datasets
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CinePile: A Long Video Question Answering Dataset and Benchmark
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CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
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Compositional Learning of Visually-Grounded Concepts Using Reinforcement
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DDOS: The Drone Depth and Obstacle Segmentation Dataset
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DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
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DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection
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DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading
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DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback
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From NeRF to 3DGS: A Leap in Stereo Dataset Quality?
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Gen2Det: Generate to Detect
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GenAI-Bench: A Holistic Benchmark for Compositional Text-to-Visual Generation
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GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning
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Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension
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HDL-SAM: A Hybrid Deep Learning Framework for High-Resolution Imaging in Scanning Acoustic Microscopy
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Implicit Neural Clustering
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Inclusive Portrait Lighting Estimation Model Leveraging Graphic-Based Synthetic Data
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Intrinsic LoRA: A Generalist Approach for Discovering Knowledge in Generative Models
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LAESI: Leaf Area Estimation with Synthetic Imagery
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m&m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks
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MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
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Object-Conditioned Energy-Based Model for Attention Map Alignment in Text-to-Image Diffusion Models
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On the Equivalency, Substitutability, and Flexibility of Synthetic Data
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Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World
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R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding
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S2MGen: A Synthetic Skin Mask Generator for Improving Segmentation
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Self-Distillation on Conditional Spatial Activation Maps for ForeGround-BackGround Segmentation
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SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception
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SIFTer: Self-improving Synthetic Datasets for Pre-training Classification Models
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SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
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Training Robust Classifiers with Diffusion Denoised Examples
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Training with Real instead of Synthetic Generated Images Still Performs Better
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Uncertainty Inclusive Contrastive Learning for Leveraging Synthetic Images
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UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
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Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
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Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
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Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
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XIMAGENET-12: An Explainable Visual Benchmark Dataset for Model Robustness Evaluation