Poster "generative models" Papers

88 papers found • Page 2 of 2

Unveiling Concept Attribution in Diffusion Models

Nguyen Hung-Quang, Hoang Phan, Khoa D Doan

NEURIPS 2025arXiv:2412.02542
4
citations

VertexRegen: Mesh Generation with Continuous Level of Detail

Xiang Zhang, Yawar Siddiqui, Armen Avetisyan et al.

ICCV 2025arXiv:2508.09062
4
citations

VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation

Wenhao Wang, Yi Yang

NEURIPS 2025arXiv:2503.01739
11
citations

Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation

Sungmin Cha, Kyunghyun Cho

NEURIPS 2025arXiv:2505.13111
4
citations

A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models

Sebastian Gregor Gruber, Florian Buettner

ICML 2024arXiv:2310.05833
5
citations

Active Generation for Image Classification

Tao Huang, Jiaqi Liu, Shan You et al.

ECCV 2024arXiv:2403.06517
5
citations

A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization

Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner

ICML 2024arXiv:2406.01661
53
citations

Adversarial Score Distillation: When score distillation meets GAN

Min Wei, Jingkai Zhou, Junyao Sun et al.

CVPR 2024arXiv:2312.00739
16
citations

A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples

Ben Adcock, Juan Cardenas, Nick Dexter

ICML 2024arXiv:2311.14886
4
citations

Collaborating Foundation Models for Domain Generalized Semantic Segmentation

Yasser Benigmim, Subhankar Roy, Slim Essid et al.

CVPR 2024arXiv:2312.09788
35
citations

Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning

Jinglin Liang, Jin Zhong, Hanlin Gu et al.

ECCV 2024arXiv:2409.01128
19
citations

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance

Mingyuan Bai, Wei Huang, Li Tenghui et al.

ICML 2024

Disguised Copyright Infringement of Latent Diffusion Models

Yiwei Lu, Matthew Yang, Zuoqiu Liu et al.

ICML 2024arXiv:2404.06737
9
citations

Distilling ODE Solvers of Diffusion Models into Smaller Steps

Sanghwan Kim, Hao Tang, Fisher Yu

CVPR 2024arXiv:2309.16421
10
citations

FMBoost: Boosting Latent Diffusion with Flow Matching

Johannes Schusterbauer-Fischer, Ming Gui, Pingchuan Ma et al.

ECCV 2024

FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection

Jianwei Zhao, Xin Li, Fan Yang et al.

ECCV 2024arXiv:2407.13133
23
citations

From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition

Maan Qraitem, Kate Saenko, Bryan Plummer

ECCV 2024arXiv:2308.04553
7
citations

Generative Active Learning for Long-tailed Instance Segmentation

Muzhi Zhu, Chengxiang Fan, Hao Chen et al.

ICML 2024arXiv:2406.02435
8
citations

GenN2N: Generative NeRF2NeRF Translation

Xiangyue Liu, Han Xue, Kunming Luo et al.

CVPR 2024arXiv:2404.02788
15
citations

GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning

Xiaojie Li, Yibo Yang, Xiangtai Li et al.

ECCV 2024arXiv:2403.12003
9
citations

Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design

Hannes Stärk, Bowen Jing, Regina Barzilay et al.

ICML 2024

Improving Adversarial Energy-Based Model via Diffusion Process

Cong Geng, Tian Han, Peng-Tao Jiang et al.

ICML 2024arXiv:2403.01666
5
citations

Language Models as Semantic Indexers

Bowen Jin, Hansi Zeng, Guoyin Wang et al.

ICML 2024arXiv:2310.07815
30
citations

Latent Space Symmetry Discovery

Jianke Yang, Nima Dehmamy, Robin Walters et al.

ICML 2024arXiv:2310.00105
22
citations

Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction

Guowei Xu, Jiale Tao, Wen Li et al.

ECCV 2024arXiv:2407.11494
9
citations

Learning to Model the World With Language

Jessy Lin, Yuqing Du, Olivia Watkins et al.

ICML 2024arXiv:2308.01399
71
citations

Listening to the noise: Blind Denoising with Gibbs Diffusion

David Heurtel-Depeiges, Charles Margossian, Ruben Ohana et al.

ICML 2024arXiv:2402.19455
4
citations

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models

Dongha Kim, Jaesung Hwang, Jongjin Lee et al.

ICML 2024arXiv:2301.04257
4
citations

PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation

Ardian Umam, Cheng-Kun Yang, Min-Hung Chen et al.

CVPR 2024arXiv:2312.04016
26
citations

Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models

Junlong Lyu, Zhitang Chen, Shoubo Feng

ICML 2024

Scaling Tractable Probabilistic Circuits: A Systems Perspective

Anji Liu, Kareem Ahmed, Guy Van den Broeck

ICML 2024arXiv:2406.00766
18
citations

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

Mingyuan Zhou, Huangjie Zheng, Zhendong Wang et al.

ICML 2024arXiv:2404.04057
154
citations

SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models

Dongseok Shim, Hyoun Jin Kim

ECCV 2024

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process

Xiangxin Zhou, Liang Wang, Yichi Zhou

ICML 2024arXiv:2403.04154
8
citations

Switched Flow Matching: Eliminating Singularities via Switching ODEs

Qunxi Zhu, Wei Lin

ICML 2024arXiv:2405.11605
2
citations

TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering

Jingye Chen, Yupan Huang, Tengchao Lv et al.

ECCV 2024arXiv:2311.16465
106
citations

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding

Guangyi Liu, Yu Wang, Zeyu Feng et al.

ICML 2024arXiv:2402.19009
8
citations

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering

Pingyi Chen, Chenglu Zhu, Sunyi Zheng et al.

ECCV 2024arXiv:2407.05603
25
citations