Imagen de Portada

RiT: Vanilla Diffusion Transformers Suffice in Representation Space

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Le, Mang, Ning, Agrawal, Aishwarya
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
por: Zhang, Le, et al.
Publicado: (2023)

Assessing and Learning Alignment of Unimodal Vision and Language Models
por: Zhang, Le, et al.
Publicado: (2024)

Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
por: Awal, Rabiul, et al.
Publicado: (2023)

Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
por: Ning, Mang, et al.
Publicado: (2024)

Communicating about Space: Language-Mediated Spatial Integration Across Partial Views
por: Sikarwar, Ankur, et al.
Publicado: (2026)

Vanilla Group Equivariant Vision Transformer: Simple and Effective
por: Fu, Jiahong, et al.
Publicado: (2026)

Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding
por: Yilmaz, Kadir, et al.
Publicado: (2026)

Spectrum Matching: a Unified Perspective for Superior Diffusability in Latent Diffusion
por: Ning, Mang, et al.
Publicado: (2026)

VisMin: Visual Minimal-Change Understanding
por: Awal, Rabiul, et al.
Publicado: (2024)

How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning
por: Yang, Qian, et al.
Publicado: (2026)

Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison
por: Yang, Qian, et al.
Publicado: (2024)

Predicting Perceived Gloss: Do Weak Labels Suffice?
por: Guerrero-Viu, Julia, et al.
Publicado: (2024)

Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders
por: Tong, Shengbang, et al.
Publicado: (2026)

An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
por: Ahmadi, Saba, et al.
Publicado: (2023)

Consistent Story Generation: Unlocking the Potential of Zigzag Sampling
por: Li, Mingxiao, et al.
Publicado: (2025)

No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves
por: Jiang, Dengyang, et al.
Publicado: (2025)

CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting
por: Xu, Jiyuan, et al.
Publicado: (2026)

Vanilla ViT for Automotive Point Cloud Semantic Segmentation
por: Puy, Gilles, et al.
Publicado: (2026)

Registers Matter for Pixel-Space Diffusion Transformers
por: Starodubcev, Nikita, et al.
Publicado: (2026)

One Click per Cell Type Suffices: Training-free Group Interaction for Cell Instance Segmentation
por: Jo, Sanghyun, et al.
Publicado: (2026)

Diffusion-APO: Trajectory-Aware Direct Preference Alignment for Video Diffusion Transformers
por: Zhu, Jingyuan, et al.
Publicado: (2026)

CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process
por: Chen, Guangyi, et al.
Publicado: (2024)

RiO-DETR: DETR for Real-time Oriented Object Detection
por: Hu, Zhangchi, et al.
Publicado: (2026)

Diffusion MRI Transformer with a Diffusion Space Rotary Positional Embedding (D-RoPE)
por: Kung, Gustavo Chau Loo, et al.
Publicado: (2026)

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
por: Didolkar, Aniket, et al.
Publicado: (2025)

Diffusion Transformers with Representation Autoencoders
por: Zheng, Boyang, et al.
Publicado: (2025)

UniRiT: Towards Few-Shot Non-Rigid Point Cloud Registration
por: Li, Geng, et al.
Publicado: (2024)

DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers
por: Yang, Mengping, et al.
Publicado: (2026)

Improving Automatic VQA Evaluation Using Large Language Models
por: Mañas, Oscar, et al.
Publicado: (2023)

Generative Editing in the Joint Vision-Language Space for Zero-Shot Composed Image Retrieval
por: Wang, Xin, et al.
Publicado: (2025)

PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference
por: Mao, Xiaofeng, et al.
Publicado: (2026)

Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification
por: Li, Chenyue, et al.
Publicado: (2024)

DirectEdit: Step-Level Accurate Inversion for Flow-Based Image Editing
por: Yang, Desong, et al.
Publicado: (2026)

Pothole Detection and Recognition based on Transfer Learning
por: Hu, Mang, et al.
Publicado: (2025)

DiTFastAttn: Attention Compression for Diffusion Transformer Models
por: Yuan, Zhihang, et al.
Publicado: (2024)

Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?
por: Zhu, Hanxin, et al.
Publicado: (2024)

Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
por: Wu, Ge, et al.
Publicado: (2025)

Beyond Point-Wise Matching: Structural Representation Alignment for Accelerating Diffusion Transformers
por: Xu, Shaodong, et al.
Publicado: (2026)

Generalization of Diffusion Models Arises with a Balanced Representation Space
por: Zhang, Zekai, et al.
Publicado: (2025)

LiteVGGT: Boosting Vanilla VGGT via Geometry-aware Cached Token Merging
por: Shu, Zhijian, et al.
Publicado: (2025)