:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Gwilliam, Matthew, Cai, Han, Wu, Di, Shrivastava, Abhinav, Cheng, Zhiyu
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	https://arxiv.org/abs/2501.13107
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model
por: Aggarwal, Anirud, et al.
Publicado: (2025)

TeCoNeRV: Leveraging Temporal Coherence for Compressible Neural Representations for Videos
por: Padmanabhan, Namitha, et al.
Publicado: (2026)

Utilization of Neighbor Information for Image Classification with Different Levels of Supervision
por: Jayatilaka, Gihan, et al.
Publicado: (2025)

Towards Understanding Best Practices for Quantization of Vision-Language Models
por: Das, Gautom, et al.
Publicado: (2026)

NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields
por: Zhu, Eric, et al.
Publicado: (2024)

How to Design and Train Your Implicit Neural Representation for Video Compression
por: Gwilliam, Matthew, et al.
Publicado: (2025)

Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory
por: Agarwal, Vatsal, et al.
Publicado: (2026)

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor
por: Agarwal, Vatsal, et al.
Publicado: (2025)

Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics
por: Maiya, Shishira R, et al.
Publicado: (2024)

A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval
por: Gwilliam, Matthew, et al.
Publicado: (2023)

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions
por: Padmanabhan, Namitha, et al.
Publicado: (2024)

Efficient Continuous Video Flow Model for Video Prediction
por: Shrivastava, Gaurav, et al.
Publicado: (2024)

Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation
por: Oorloff, Trevine, et al.
Publicado: (2025)

Do text-free diffusion models learn discriminative visual representations?
por: Mukhopadhyay, Soumik, et al.
Publicado: (2023)

EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS
por: Girish, Sharath, et al.
Publicado: (2023)

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction
por: Shrivastava, Gaurav, et al.
Publicado: (2024)

Scale Space Diffusion
por: Mukhopadhyay, Soumik, et al.
Publicado: (2026)

InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models
por: Saini, Nirat, et al.
Publicado: (2024)

NeRV-Diffusion: Diffuse Implicit Neural Representations for Video Synthesis
por: Ren, Yixuan, et al.
Publicado: (2025)

UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders
por: Walmer, Matthew, et al.
Publicado: (2026)

LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors
por: Suri, Saksham, et al.
Publicado: (2024)

Efficient and High-Fidelity Omni Modality Retrieval
por: Huynh, Chuong, et al.
Publicado: (2026)

Video Decomposition Prior: A Methodology to Decompose Videos into Layers
por: Shrivastava, Gaurav, et al.
Publicado: (2024)

V-VIPE: Variational View Invariant Pose Embedding
por: Levy, Mara, et al.
Publicado: (2024)

Characterizing Motion Encoding in Video Diffusion Timesteps
por: Baherwani, Vatsal, et al.
Publicado: (2025)

Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
por: Kumar, Pulkit, et al.
Publicado: (2025)

AgentComp: From Agentic Reasoning to Compositional Mastery in Text-to-Image Models
por: Zarei, Arman, et al.
Publicado: (2025)

Implicit Neural Representation Facilitates Unified Universal Vision Encoding
por: Gwilliam, Matthew, et al.
Publicado: (2026)

Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models
por: Ren, Yixuan, et al.
Publicado: (2024)

FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
por: Lv, Zhengyao, et al.
Publicado: (2024)

Unified Framework for Open-World Compositional Zero-shot Learning
por: Jayasekara, Hirunima, et al.
Publicado: (2024)

Measuring Style Similarity in Diffusion Models
por: Somepalli, Gowthami, et al.
Publicado: (2024)

Multi-entity Video Transformers for Fine-Grained Video Representation Learning
por: Walmer, Matthew, et al.
Publicado: (2023)

Composing Object Relations and Attributes for Image-Text Matching
por: Pham, Khoi, et al.
Publicado: (2024)

Fast Encoding and Decoding for Implicit Video Representation
por: Chen, Hao, et al.
Publicado: (2024)

LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment
por: Wang, Yibin, et al.
Publicado: (2024)

Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation
por: Liu, Kendong, et al.
Publicado: (2025)

All-in-One Conditioning for Text-to-Image Synthesis
por: Jayasekara, Hirunima, et al.
Publicado: (2026)

Point Prompting: Counterfactual Tracking with Video Diffusion Models
por: Shrivastava, Ayush, et al.
Publicado: (2025)

Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models
por: Chen, Cheng, et al.
Publicado: (2024)