Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners
Fuente:
arXiv
Saved in:
| Main Authors: | He, Xuehai, Feng, Weixi, Fu, Tsu-Jui, Jampani, Varun, Akula, Arjun, Narayana, Pradyumna, Basu, Sugato, Wang, William Yang, Wang, Xin Eric |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
by: Li, Jiachen, et al.
Published: (2024)
by: Li, Jiachen, et al.
Published: (2024)
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
by: Schumann, Raphael, et al.
Published: (2023)
by: Schumann, Raphael, et al.
Published: (2023)
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling
by: Fu, Tsu-Jui, et al.
Published: (2019)
by: Fu, Tsu-Jui, et al.
Published: (2019)
HumANDiff: Articulated Noise Diffusion for Motion-Consistent Human Video Generation
by: Hu, Tao, et al.
Published: (2026)
by: Hu, Tao, et al.
Published: (2026)
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning
by: Fu, Tsu-Jui, et al.
Published: (2020)
by: Fu, Tsu-Jui, et al.
Published: (2020)
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
by: Cheng, Cheng, et al.
Published: (2023)
by: Cheng, Cheng, et al.
Published: (2023)
Few-shot Learner Parameterization by Diffusion Time-steps
by: Yue, Zhongqi, et al.
Published: (2024)
by: Yue, Zhongqi, et al.
Published: (2024)
Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction
by: Kilian, Maciej, et al.
Published: (2024)
by: Kilian, Maciej, et al.
Published: (2024)
Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation
by: Zhao, Qianguang, et al.
Published: (2025)
by: Zhao, Qianguang, et al.
Published: (2025)
Making Large Vision Language Models to be Good Few-shot Learners
by: Liu, Fan, et al.
Published: (2024)
by: Liu, Fan, et al.
Published: (2024)
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation
by: Feng, Weixi, et al.
Published: (2024)
by: Feng, Weixi, et al.
Published: (2024)
MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens
by: Zheng, Kaizhi, et al.
Published: (2023)
by: Zheng, Kaizhi, et al.
Published: (2023)
FROMAT: Multiview Material Appearance Transfer via Few-Shot Self-Attention Adaptation
by: Kompanowski, Hubert, et al.
Published: (2025)
by: Kompanowski, Hubert, et al.
Published: (2025)
ZeroShape: Regression-based Zero-shot Shape Reconstruction
by: Huang, Zixuan, et al.
Published: (2023)
by: Huang, Zixuan, et al.
Published: (2023)
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
by: Shi, Ruixiao, et al.
Published: (2025)
by: Shi, Ruixiao, et al.
Published: (2025)
Taming Outlier Tokens in Diffusion Transformers
by: Wu, Xiaoyu, et al.
Published: (2026)
by: Wu, Xiaoyu, et al.
Published: (2026)
Few-shot Image Generation via Masked Discrimination
by: Zhu, Jingyuan, et al.
Published: (2022)
by: Zhu, Jingyuan, et al.
Published: (2022)
From Text to Pixel: Advancing Long-Context Understanding in MLLMs
by: Lu, Yujie, et al.
Published: (2024)
by: Lu, Yujie, et al.
Published: (2024)
Dual-path Frequency Discriminators for Few-shot Anomaly Detection
by: Bai, Yuhu, et al.
Published: (2024)
by: Bai, Yuhu, et al.
Published: (2024)
SMooDi: Stylized Motion Diffusion Model
by: Zhong, Lei, et al.
Published: (2024)
by: Zhong, Lei, et al.
Published: (2024)
Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model
by: Bui, Phuoc-Nguyen, et al.
Published: (2025)
by: Bui, Phuoc-Nguyen, et al.
Published: (2025)
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering
by: Chen, Xiusi, et al.
Published: (2023)
by: Chen, Xiusi, et al.
Published: (2023)
Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
by: Michalkiewicz, Mateusz, et al.
Published: (2024)
by: Michalkiewicz, Mateusz, et al.
Published: (2024)
HouseCrafter: Lifting Floorplans to 3D Scenes with 2D Diffusion Model
by: Nguyen, Hieu T., et al.
Published: (2024)
by: Nguyen, Hieu T., et al.
Published: (2024)
Few-shot Named Entity Recognition via Superposition Concept Discrimination
by: Chen, Jiawei, et al.
Published: (2024)
by: Chen, Jiawei, et al.
Published: (2024)
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing
by: Fu, Tsu-Jui, et al.
Published: (2025)
by: Fu, Tsu-Jui, et al.
Published: (2025)
Uni-DAD: Unified Distillation and Adaptation of Diffusion Models for Few-step Few-shot Image Generation
by: Bahram, Yara, et al.
Published: (2025)
by: Bahram, Yara, et al.
Published: (2025)
Guiding Instruction-based Image Editing via Multimodal Large Language Models
by: Fu, Tsu-Jui, et al.
Published: (2023)
by: Fu, Tsu-Jui, et al.
Published: (2023)
Selective Vision-Language Subspace Projection for Few-shot CLIP
by: Zhu, Xingyu, et al.
Published: (2024)
by: Zhu, Xingyu, et al.
Published: (2024)
Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation
by: Bi, Hanbo, et al.
Published: (2024)
by: Bi, Hanbo, et al.
Published: (2024)
Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning
by: Zhang, Zhenyu, et al.
Published: (2026)
by: Zhang, Zhenyu, et al.
Published: (2026)
Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
Few-shot Semantic Encoding and Decoding for Video Surveillance
by: Cheng, Baoping, et al.
Published: (2025)
by: Cheng, Baoping, et al.
Published: (2025)
PhysRig: Differentiable Physics-Based Skinning and Rigging Framework for Realistic Articulated Object Modeling
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
Unified Dense Prediction of Video Diffusion
by: Yang, Lehan, et al.
Published: (2025)
by: Yang, Lehan, et al.
Published: (2025)
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
by: Zhu, Muzhi, et al.
Published: (2024)
by: Zhu, Muzhi, et al.
Published: (2024)
Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation
by: Wang, Jin, et al.
Published: (2025)
by: Wang, Jin, et al.
Published: (2025)
SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D Generation
by: Yao, Chun-Han, et al.
Published: (2025)
by: Yao, Chun-Han, et al.
Published: (2025)
Active Multimodal Distillation for Few-shot Action Recognition
by: Feng, Weijia, et al.
Published: (2025)
by: Feng, Weijia, et al.
Published: (2025)
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis
by: Kong, Chaerin, et al.
Published: (2022)
by: Kong, Chaerin, et al.
Published: (2022)
Similar Items
-
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
by: Li, Jiachen, et al.
Published: (2024) -
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
by: Schumann, Raphael, et al.
Published: (2023) -
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling
by: Fu, Tsu-Jui, et al.
Published: (2019) -
HumANDiff: Articulated Noise Diffusion for Motion-Consistent Human Video Generation
by: Hu, Tao, et al.
Published: (2026) -
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning
by: Fu, Tsu-Jui, et al.
Published: (2020)