Cover Image

Vibe Spaces for Creatively Connecting and Expressing Visual Concepts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Huzheng, Xu, Katherine, Lu, Andrew, Grossberg, Michael D., Bai, Yutong, Shi, Jianbo
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

"I Know It When I See It": Mood Spaces for Connecting and Expressing Visual Concepts
by: Yang, Huzheng, et al.
Published: (2025)

AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature Space
by: Yang, Huzheng, et al.
Published: (2024)

Brain Decodes Deep Nets
by: Yang, Huzheng, et al.
Published: (2023)

Artifacts and Attention Sinks: Structured Approximations for Efficient Vision Transformers
by: Lu, Andrew, et al.
Published: (2025)

Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
by: Xu, Katherine, et al.
Published: (2024)

Detecting Origin Attribution for Text-to-Image Diffusion Models
by: Xu, Katherine, et al.
Published: (2024)

Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
by: Kowal, Matthew, et al.
Published: (2024)

MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering
by: Tian, Yonglin, et al.
Published: (2024)

ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
by: Hao, Shaozhe, et al.
Published: (2024)

Finding Visual Task Vectors
by: Hojel, Alberto, et al.
Published: (2024)

Exploiting Text-Image Latent Spaces for the Description of Visual Concepts
by: Schmalwasser, Laines, et al.
Published: (2024)

CusConcept: Customized Visual Concept Decomposition with Diffusion Models
by: Xu, Zhi, et al.
Published: (2024)

Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction
by: Lee, Andrew Jun, et al.
Published: (2025)

An Exploratory Study on Abstract Images and Visual Representations Learned from Them
by: Li, Haotian, et al.
Published: (2025)

Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
by: Shi, Yuheng, et al.
Published: (2024)

PSDesigner: Automated Graphic Design with a Human-Like Creative Workflow
by: Shuai, Xincheng, et al.
Published: (2026)

Exploring Image Representation with Decoupled Classical Visual Descriptors
by: Qu, Chenyuan, et al.
Published: (2025)

VibeFlow: Versatile Video Chroma-Lux Editing through Self-Supervised Learning
by: Li, Yifan, et al.
Published: (2026)

A Creative Agent is Worth a 64-Token Template
by: Shi, Ruixiao, et al.
Published: (2026)

Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations
by: Shen, Tiancheng, et al.
Published: (2024)

Enhancing Visual In-Context Learning by Multi-Faceted Fusion
by: Liao, Wenwen, et al.
Published: (2026)

Beyond Global Scanning: Adaptive Visual State Space Modeling for Salient Object Detection in Optical Remote Sensing Images
by: Ren, Mengyu, et al.
Published: (2025)

What Can We Learn from Harry Potter? An Exploratory Study of Visual Representation Learning from Atypical Videos
by: Sun, Qiyue, et al.
Published: (2025)

InfoSculpt: Sculpting the Latent Space for Generalized Category Discovery
by: Liao, Wenwen, et al.
Published: (2026)

Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation
by: Feng, Fu, et al.
Published: (2024)

VeriSciQA: An Auto-Verified Dataset for Scientific Visual Question Answering
by: Li, Yuyi, et al.
Published: (2025)

SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs
by: Wang, Jiahui, et al.
Published: (2025)

Multi-Object Advertisement Creative Generation
by: Gao, Jialu, et al.
Published: (2026)

PainDiffusion: Learning to Express Pain
by: Dam, Quang Tien, et al.
Published: (2024)

VmambaIR: Visual State Space Model for Image Restoration
by: Shi, Yuan, et al.
Published: (2024)

Per-Query Visual Concept Learning
by: Malca, Ori, et al.
Published: (2025)

Language-Informed Visual Concept Learning
by: Lee, Sharon, et al.
Published: (2023)

Dataset Augmentation by Mixing Visual Concepts
by: Rahat, Abdullah Al, et al.
Published: (2024)

Visual-Friendly Concept Protection via Selective Adversarial Perturbations
by: Mi, Xiaoyue, et al.
Published: (2024)

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection
by: Wang, Tao, et al.
Published: (2025)

CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning
by: Zhang, Ruichi, et al.
Published: (2026)

ShowTable: Unlocking Creative Table Visualization with Collaborative Reflection and Refinement
by: Liu, Zhihang, et al.
Published: (2025)

Brain-Inspired Capture: Evidence-Driven Neuromimetic Perceptual Simulation for Visual Decoding
by: Shao, Feixue, et al.
Published: (2026)

LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models
by: Sun, Mengyu, et al.
Published: (2026)

Adversarial Robustness for Visual Grounding of Multimodal Large Language Models
by: Gao, Kuofeng, et al.
Published: (2024)