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