Cover Image

NeRV-Diffusion: Diffuse Implicit Neural Representations for Video Synthesis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Yixuan, Wang, Hanyu, Chen, Hao, He, Bo, Shrivastava, Abhinav
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

DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes
by: Yan, Hao, et al.
Published: (2024)

RT-NeRV: Rethinking Hybrid Neural Representations for Video via Residual Tokenization
by: Xu, Yunjie, et al.
Published: (2024)

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

Tree-NeRV: A Tree-Structured Neural Representation for Efficient Non-Uniform Video Encoding
by: Zhao, Jiancheng, et al.
Published: (2025)

NeRV360: Neural Representation for 360-Degree Videos with a Viewport Decoder
by: Arai, Daichi, et al.
Published: (2025)

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution
by: Hayami, Taiga, et al.
Published: (2025)

LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior
by: Wang, Hanyu, et al.
Published: (2024)

LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression
by: Shanableh, Tamer
Published: (2026)

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

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

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

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

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

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

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

MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
by: Guo, Jialong, et al.
Published: (2025)

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

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

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

Scale Space Diffusion
by: Mukhopadhyay, Soumik, et al.
Published: (2026)

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

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

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

PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
by: Ding, Yuhan, et al.
Published: (2023)

NeRT: Implicit Neural Representations for General Unsupervised Turbulence Mitigation
by: Jiang, Weiyun, et al.
Published: (2023)

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

Diffusion Model Regularized Implicit Neural Representation for CT Metal Artifact Reduction
by: Wen, Jie, et al.
Published: (2025)

Accelerate High-Quality Diffusion Models with Inner Loop Feedback
by: Gwilliam, Matthew, et al.
Published: (2025)

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

Implicit Neural Representation for Video Restoration
by: Aiyetigbo, Mary, et al.
Published: (2025)

ARDuP: Active Region Video Diffusion for Universal Policies
by: Huang, Shuaiyi, et al.
Published: (2024)

TinyNeRV: Compact Neural Video Representations via Capacity Scaling, Distillation, and Low-Precision Inference
by: Akhtar, Muhammad Hannan, et al.
Published: (2026)

HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
by: Kwan, Ho Man, et al.
Published: (2023)

NeR-VCP: A Video Content Protection Method Based on Implicit Neural Representation
by: Lin, Yangping, et al.
Published: (2024)

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

ID-NeRF: Indirect Diffusion-guided Neural Radiance Fields for Generalizable View Synthesis
by: Li, Yaokun, et al.
Published: (2024)

Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
by: Nguyen, Khoa Tuan, et al.
Published: (2025)

Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems
by: Chen, Hanyu, et al.
Published: (2024)

LINR Bridge: Vector Graphic Animation via Neural Implicits and Video Diffusion Priors
by: Gao, Wenshuo, et al.
Published: (2025)

Implicit Neural Representation for Video and Image Super-Resolution
by: Aiyetigbo, Mary, et al.
Published: (2025)