Poster "synthetic data generation" Papers
89 papers found • Page 1 of 2
Conference
Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks
Hailong Guo, Bohan Zeng, Yiren Song et al.
A solvable model of learning generative diffusion: theory and insights
Hugo Cui, Cengiz Pehlevan, Yue Lu
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.
ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
Yue Huang, Zhengzhe Jiang, Xiaonan Luo et al.
CompCap: Improving Multimodal Large Language Models with Composite Captions
Xiaohui Chen, Satya Narayan Shukla, Mahmoud Azab et al.
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
Eric Xing, Pranavi Kolouju, Robert Pless et al.
DataGen: Unified Synthetic Dataset Generation via Large Language Models
Yue Huang, Siyuan Wu, Chujie Gao et al.
Detecting High-Stakes Interactions with Activation Probes
Alex McKenzie, Urja Pawar, Phil Blandfort et al.
DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang
Diffusion Federated Dataset
SEOKJU HAHN, Junghye Lee
DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery
Jing Gao, Ce Zheng, Laszlo Jeni et al.
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
Qianlong Xiang, Miao Zhang, Yuzhang Shang et al.
Does Training with Synthetic Data Truly Protect Privacy?
Yunpeng Zhao, Jie Zhang
ECHOPulse: ECG Controlled Echocardio-gram Video Generation
Yiwei Li, Sekeun Kim, Zihao Wu et al.
Enhancing Dataset Distillation via Non-Critical Region Refinement
Minh-Tuan Tran, Trung Le, Xuan-May Le et al.
Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling
Nannan Li, Kevin Shih, Bryan A. Plummer
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Jiayi Guo, Zhao Junhao, Chaoqun Du et al.
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
Mingyang Chen, sunhaoze, Tianpeng Li et al.
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Milad Khademi Nori, IL-MIN KIM, Guanghui Wang
Flick: Empowering Federated Learning with Commonsense Knowledge
Ran Zhu, Mingkun Yang, Shiqiang Wang et al.
GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration
Sudarshan Rajagopalan, Nithin Gopalakrishnan Nair, Jay Paranjape et al.
Generating Multi-Image Synthetic Data for Text-to-Image Customization
Nupur Kumari, Xi Yin, Jun-Yan Zhu et al.
Generative Zoo
Tomasz Niewiadomski, Anastasios Yiannakidis, Hanz Cuevas Velasquez et al.
GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
Dongzhuoran Zhou, Evgeny Kharlamov, Egor Kostylev
GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
Jonathan Roberts, Kai Han, Samuel Albanie
GRIP: A Graph-Based Reasoning Instruction Producer
Jiankang Wang, Jianjun Xu, Xiaorui Wang et al.
Hyperbolic Dataset Distillation
Wenyuan Li, Guang Li, Keisuke Maeda et al.
Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation
Xiaoling Hu, Xiangrui Zeng, Oula Puonti et al.
LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization
Zhenpeng Huang, Jiaqi Li, zihan jia et al.
MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures
Lucas Morin, Valery Weber, Ahmed Nassar et al.
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
Zimu Lu, Aojun Zhou, Ke Wang et al.
Mellow: a small audio language model for reasoning
Soham Deshmukh, Satvik Dixit, Rita Singh et al.
MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World
Ankit Dhiman, Manan Shah, R. Venkatesh Babu
MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild
Xi Fang, Jiankun Wang, Xiaochen Cai et al.
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
Xiaochuan Li, Zichun Yu, Chenyan Xiong
ObjectMover: Generative Object Movement with Video Prior
Xin Yu, Tianyu Wang, Soo Ye Kim et al.
On the Generalization of Handwritten Text Recognition Models
Carlos Garrido-Munoz, Jorge Calvo-Zaragoza
ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
Jingyuan He, Jiongnan Liu, Vishan Oberoi et al.
OS-ATLAS: Foundation Action Model for Generalist GUI Agents
Zhiyong Wu, Zhenyu Wu, Fangzhi Xu et al.
Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities
Yichen Wang, Yiyi Zhang, Xinhao Hu et al.
Personalized Representation from Personalized Generation
Shobhita Sundaram, Julia Chae, Yonglong Tian et al.
ProtoSnap: Prototype Alignment For Cuneiform Signs
Rachel Mikulinsky, Morris Alper, Shai Gordin et al.
RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions
Bimsara Pathiraja, Maitreya Patel, Shivam Singh et al.
Removing Reflections from RAW Photos
Eric Kee, Adam Pikielny, Kevin Blackburn-Matzen et al.
Rethinking the Role of Verbatim Memorization in LLM Privacy
Tom Sander, Bargav Jayaraman, Mark Ibrahim et al.
RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
Tianyi Yan, Wencheng Han, xia zhou et al.
RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case
Baihui Xiao, Chengjian Feng, Zhijian Huang et al.
ROSE: Remove Objects with Side Effects in Videos
Chenxuan Miao, Yutong Feng, Jianshu Zeng et al.
RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator
SangYong Lee, Sangjun Chung, Simon Woo
Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation
Linda He, Jue Wang, Maurice Weber et al.