CVPR 2025PastComputer vision
Synthetic Data for Computer Vision Workshop @ CVPR 2025
SynData4CV
- Submission deadline
- Apr 5, 2025, 00:00 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (63)
Fetched from OpenReview (v2) on 2026-06-10.
ACTUPose: Active Curriculum Training for Unsupervised Domain Adaptation in Pose Estimation
Analyze, Generate, Improve: Failure-Based Data Generation for Large Multimodal Models
Ano-Skin: Clinical Feature-Aware Diffusion Model for Dermatological Image Anonymization
Applying Longitudinal Augmentation and Data Generation (LAUGEN) in Medical Imaging
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?
Ask, Pose, Unite: Scaling Data Acquisition for Close Interaction Meshes with Vision Language Models
BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions
Boosting Synthetic Data for VLMs via Diffusion Noise Optimization
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Maps
BRADD: Balancing Representations with Anomaly Detection and Diffusion
Bridging the Domain Gap: Enhancing Underwater Laser Stripe Segmentation with Synthetic Data
Buildee: A 3D Simulation Framework for Scene Exploration and Reconstruction with Understanding
Challenges in 3D Data Synthesis for Training Neural Networks on Topological Features
COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning
Concept-as-Tree: Synthetic Data is All You Need for VLM Personalization
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning
Diffusion Deepfake
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
DocGenie: A Framework for High-Fidelity Synthetic Document Generation via Seed-Guided Multimodal LLM and Document-Aware Evaluation
Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data
Evaluating Text-to-Image Diffusion Models for Texturing Synthetic Data
GASR: Generated Artwork dataset for Image Super-Resolution
Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming
Generating Synthetic Data via Augmentations for Improved Facial Resemblance in DreamBooth and InstantID
Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer
GIMO: Generative Image Outpainting for Early Smoke Segmentation
H2R: A Human-to-Robot Data Augmentation for Robot Pre-training from Videos
Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification
Improving Physical Object State Representation in Text-to-Image Generative Systems
Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic Data
Investigating the Influence of Image Augmentations on the Sim-to-Real Generalization of Deep Learning Perception Models
Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model
Latent Video Dataset Distillation
LATTE: Learning to Reason with Vision Specialists
Learning 3D Representations from Procedural 3D Programs
Learning from Synthetic Data for Visual Grounding
Learning to Blur is Learning to Deblur: Realistic Synthetic UHD Blurred Image via Diffusion
Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene Understanding
LFQUIAD: Lookup-Free Quantized autoencoder for few-shot Unsupervised Industrial Anomaly Detection via Synthetic Diffusion Inpainting
LiveVQA: Assessing Models with Live Visual Knowledge
Minimizing Data, Maximizing Performance: Generative Examples for Continual Task Learning
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World
MoireDB: A Formula-driven Image Dataset for Robustness Enhancement
MultiRef: Controllable Image Generation with Multiple Visual References
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
Point Cloud Segmentation of Agricultural Vehicles using 3D Gaussian Splatting
Quo Vadis Handwritten Text Generation for Handwritten Text Recognition?
R3ST: A Synthetic Dataset with Real Trajectories for Urban Traffic Analysis
RAFT: Robust Augmentation of FeaTures for Image Segmentation
ReSIT: A more Realistic Synthetic Driving Dataset for Multi-Domain Image-to-Image Translation
RoadSocial: A Diverse VideoQA Dataset and Benchmark for Road Event Understanding from Social Video Narratives
SDI-Paste: Synthetic Dynamic Instance Copy-Paste
Stable Bidirectional Graph Convolutional Networks for Label-Frugal Skeleton-based Recognition
SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop Scenes
Synthesizing 3D Abstractions by Inverting Procedural Buildings with Transformers
Synthetic Data Generation for Demonstrating Noise Reduction in Facial Depth Imaging
Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis
Synthetic Human Action Video Data Generation with Pose Transfer
Synthetically Trained Music-to-Pose Encoder Diffusion for Automated Choreography Generation
Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding
You Are Your Best Teacher: Semi-Supervised Surgical Point Tracking with Cycle-Consistent Self-Distillation