Saved in:
| Main Authors: | Lin, Shanchuan, Yang, Ceyuan, Lin, Zhijie, Chen, Hao, Fan, Haoqi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.11521 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adversarial Flow Models
by: Lin, Shanchuan, et al.
Published: (2025)
by: Lin, Shanchuan, et al.
Published: (2025)
Diffusion Adversarial Post-Training for One-Step Video Generation
by: Lin, Shanchuan, et al.
Published: (2025)
by: Lin, Shanchuan, et al.
Published: (2025)
Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
by: Lin, Shanchuan, et al.
Published: (2025)
by: Lin, Shanchuan, et al.
Published: (2025)
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
by: Lin, Shanchuan, et al.
Published: (2024)
by: Lin, Shanchuan, et al.
Published: (2024)
Diffusion Model with Perceptual Loss
by: Lin, Shanchuan, et al.
Published: (2023)
by: Lin, Shanchuan, et al.
Published: (2023)
Explicit Critic Guidance for Aligning Diffusion Models
by: Liang, Zhengyang, et al.
Published: (2026)
by: Liang, Zhengyang, et al.
Published: (2026)
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
by: Wang, Jianyi, et al.
Published: (2025)
by: Wang, Jianyi, et al.
Published: (2025)
Growing Visual Generative Capacity for Pre-Trained MLLMs
by: Wang, Hanyu, et al.
Published: (2025)
by: Wang, Hanyu, et al.
Published: (2025)
Context Unrolling in Omni Models
by: Yang, Ceyuan, et al.
Published: (2026)
by: Yang, Ceyuan, et al.
Published: (2026)
Transferable Adversarial Attacks on Black-Box Vision-Language Models
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
by: Guo, Yuwei, et al.
Published: (2023)
by: Guo, Yuwei, et al.
Published: (2023)
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model
by: Cao, Yuanpu, et al.
Published: (2024)
by: Cao, Yuanpu, et al.
Published: (2024)
AnimateDiff-Lightning: Cross-Model Diffusion Distillation
by: Lin, Shanchuan, et al.
Published: (2024)
by: Lin, Shanchuan, et al.
Published: (2024)
Representation Forcing for Bottleneck-Free Unified Multimodal Models
by: Wang, Yuqing, et al.
Published: (2026)
by: Wang, Yuqing, et al.
Published: (2026)
SkipSR: Faster Super Resolution with Token Skipping
by: Choudhury, Rohan, et al.
Published: (2025)
by: Choudhury, Rohan, et al.
Published: (2025)
CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models
by: He, Hao, et al.
Published: (2025)
by: He, Hao, et al.
Published: (2025)
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization
by: Hu, Zhaozhe, et al.
Published: (2024)
by: Hu, Zhaozhe, et al.
Published: (2024)
SMaRt: Improving GANs with Score Matching Regularity
by: Xia, Mengfei, et al.
Published: (2023)
by: Xia, Mengfei, et al.
Published: (2023)
Continual Personalization for Diffusion Models
by: Liao, Yu-Chien, et al.
Published: (2025)
by: Liao, Yu-Chien, et al.
Published: (2025)
RegCL: Continual Adaptation of Segment Anything Model via Model Merging
by: Shu, Yuan-Chen, et al.
Published: (2025)
by: Shu, Yuan-Chen, et al.
Published: (2025)
Pyramidal Flow Matching for Efficient Video Generative Modeling
by: Jin, Yang, et al.
Published: (2024)
by: Jin, Yang, et al.
Published: (2024)
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling
by: Fan, Xu, et al.
Published: (2025)
by: Fan, Xu, et al.
Published: (2025)
MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
by: Fan, Xu, et al.
Published: (2025)
by: Fan, Xu, et al.
Published: (2025)
KeepLoRA: Continual Learning with Residual Gradient Adaptation
by: Luo, Mao-Lin, et al.
Published: (2026)
by: Luo, Mao-Lin, et al.
Published: (2026)
LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model
by: Jin, Jiachun, et al.
Published: (2026)
by: Jin, Jiachun, et al.
Published: (2026)
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
by: Qi, Qi, et al.
Published: (2024)
by: Qi, Qi, et al.
Published: (2024)
Long Context Tuning for Video Generation
by: Guo, Yuwei, et al.
Published: (2025)
by: Guo, Yuwei, et al.
Published: (2025)
Improving Adversarial Energy-Based Model via Diffusion Process
by: Geng, Cong, et al.
Published: (2024)
by: Geng, Cong, et al.
Published: (2024)
LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
by: Luo, Mao-Lin, et al.
Published: (2025)
by: Luo, Mao-Lin, et al.
Published: (2025)
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
by: Zhang, Jingyang, et al.
Published: (2023)
by: Zhang, Jingyang, et al.
Published: (2023)
ER-FSL: Experience Replay with Feature Subspace Learning for Online Continual Learning
by: Lin, Huiwei
Published: (2024)
by: Lin, Huiwei
Published: (2024)
FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation
by: Lin, Mingfeng, et al.
Published: (2026)
by: Lin, Mingfeng, et al.
Published: (2026)
Plug-and-Play Image Restoration with Flow Matching: A Continuous Viewpoint
by: Jia, Fan, et al.
Published: (2025)
by: Jia, Fan, et al.
Published: (2025)
Transferable Adversarial Attacks on SAM and Its Downstream Models
by: Xia, Song, et al.
Published: (2024)
by: Xia, Song, et al.
Published: (2024)
Gaussian Mixture Flow Matching Models
by: Chen, Hansheng, et al.
Published: (2025)
by: Chen, Hansheng, et al.
Published: (2025)
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
by: Liu, Enshu, et al.
Published: (2024)
by: Liu, Enshu, et al.
Published: (2024)
SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation
by: Tan, Yee-Fan, et al.
Published: (2025)
by: Tan, Yee-Fan, et al.
Published: (2025)
Unified Continuous Generative Models
by: Sun, Peng, et al.
Published: (2025)
by: Sun, Peng, et al.
Published: (2025)
Continual Adversarial Defense
by: Wang, Qian, et al.
Published: (2023)
by: Wang, Qian, et al.
Published: (2023)
Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions
by: Weatherly, Chad, et al.
Published: (2026)
by: Weatherly, Chad, et al.
Published: (2026)
Similar Items
-
Adversarial Flow Models
by: Lin, Shanchuan, et al.
Published: (2025) -
Diffusion Adversarial Post-Training for One-Step Video Generation
by: Lin, Shanchuan, et al.
Published: (2025) -
Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation
by: Lin, Shanchuan, et al.
Published: (2025) -
SDXL-Lightning: Progressive Adversarial Diffusion Distillation
by: Lin, Shanchuan, et al.
Published: (2024) -
Diffusion Model with Perceptual Loss
by: Lin, Shanchuan, et al.
Published: (2023)