"conditional diffusion models" Papers
14 papers found
Conference
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models
Wentao Qu, Jing Wang, Yongshun Gong et al.
CVPR 2025arXiv:2411.16308
9
citations
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
Rong Tang, Lizhen Lin, Yun Yang
ICLR 2025arXiv:2409.20124
5
citations
Conditional Diffusion Models Based Conditional Independence Testing
Yanfeng Yang, Shuai Li, Yingjie Zhang et al.
AAAI 2025paperarXiv:2412.11744
5
citations
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
Clément Chadebec, Onur Tasar, Eyal Benaroche et al.
AAAI 2025paperarXiv:2406.02347
40
citations
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
Suzan Ece Ada, Georg Martius, Emre Ugur et al.
NEURIPS 2025spotlightarXiv:2512.01987
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction
Dat Cong, Hieu Tran, Hoang Thanh-Tung
ICCV 2025arXiv:2508.19581
1
citations
Ponimator: Unfolding Interactive Pose for Versatile Human-human Interaction Animation
Shaowei Liu, chuan guo, Bing Zhou et al.
ICCV 2025arXiv:2510.14976
2
citations
Prioritized Generative Replay
Ren Wang, Kevin Frans, Pieter Abbeel et al.
ICLR 2025arXiv:2410.18082
9
citations
Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
Ziheng Cheng, Tianyu Xie, Shiyue Zhang et al.
NEURIPS 2025arXiv:2502.04491
2
citations
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression
Dohyun Kim, Sehwan Park, GeonHee Han et al.
CVPR 2025arXiv:2504.02011
1
citations
TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models
Christian Simon, Masato Ishii, Akio Hayakawa et al.
ICCV 2025arXiv:2508.00289
1
citations
Dataset Enhancement with Instance-Level Augmentations
Orest Kupyn, Christian Rupprecht
ECCV 2024arXiv:2406.08249
18
citations
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
Louis Sharrock, Jack Simons, Song Liu et al.
ICML 2024spotlightarXiv:2210.04872
52
citations
Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL
Sungyoon Kim, Yunseon Choi, Daiki Matsunaga et al.
AAAI 2024paperarXiv:2402.07226
18
citations