Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation
Fuente:
arXiv
Saved in:
| Main Authors: | Jin, Luoxu, Watanabe, Hiroshi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Motion-aware Latent Diffusion Models for Video Frame Interpolation
by: Huang, Zhilin, et al.
Published: (2024)
by: Huang, Zhilin, et al.
Published: (2024)
Disentangled Motion Modeling for Video Frame Interpolation
by: Lew, Jaihyun, et al.
Published: (2024)
by: Lew, Jaihyun, et al.
Published: (2024)
EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame Interpolation
by: Zhang, Ziran, et al.
Published: (2025)
by: Zhang, Ziran, et al.
Published: (2025)
Motion-Aware Video Frame Interpolation
by: Han, Pengfei, et al.
Published: (2024)
by: Han, Pengfei, et al.
Published: (2024)
Sparse Global Matching for Video Frame Interpolation with Large Motion
by: Liu, Chunxu, et al.
Published: (2024)
by: Liu, Chunxu, et al.
Published: (2024)
Generalizable Implicit Motion Modeling for Video Frame Interpolation
by: Guo, Zujin, et al.
Published: (2024)
by: Guo, Zujin, et al.
Published: (2024)
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
by: Wang, Xiaojuan, et al.
Published: (2024)
by: Wang, Xiaojuan, et al.
Published: (2024)
Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields
by: Kim, Taewoo, et al.
Published: (2025)
by: Kim, Taewoo, et al.
Published: (2025)
EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame Interpolation
by: Zhang, Zihao, et al.
Published: (2025)
by: Zhang, Zihao, et al.
Published: (2025)
Edit2Interp: Adapting Image Foundation Models from Spatial Editing to Video Frame Interpolation with Few-Shot Learning
by: Rahimi, Nasrin, et al.
Published: (2026)
by: Rahimi, Nasrin, et al.
Published: (2026)
Event-based Video Frame Interpolation with Edge Guided Motion Refinement
by: Liu, Yuhan, et al.
Published: (2024)
by: Liu, Yuhan, et al.
Published: (2024)
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion
by: Shen, Liao, et al.
Published: (2024)
by: Shen, Liao, et al.
Published: (2024)
Motion-Aware Generative Frame Interpolation
by: Zhang, Guozhen, et al.
Published: (2025)
by: Zhang, Guozhen, et al.
Published: (2025)
Time-adaptive Video Frame Interpolation based on Residual Diffusion
by: Chavez, Victor Fonte, et al.
Published: (2025)
by: Chavez, Victor Fonte, et al.
Published: (2025)
Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers
by: Peng, Xinyu, et al.
Published: (2026)
by: Peng, Xinyu, et al.
Published: (2026)
Benchmarking Video Frame Interpolation
by: Kiefhaber, Simon, et al.
Published: (2024)
by: Kiefhaber, Simon, et al.
Published: (2024)
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
by: Danier, Duolikun, et al.
Published: (2023)
by: Danier, Duolikun, et al.
Published: (2023)
Unified Arbitrary-Time Video Frame Interpolation and Prediction
by: Jin, Xin, et al.
Published: (2025)
by: Jin, Xin, et al.
Published: (2025)
BiM-VFI: Bidirectional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions
by: Seo, Wonyong, et al.
Published: (2024)
by: Seo, Wonyong, et al.
Published: (2024)
Velocity Disambiguation for Video Frame Interpolation
by: Zhong, Zhihang, et al.
Published: (2023)
by: Zhong, Zhihang, et al.
Published: (2023)
FC-VFI: Faithful and Consistent Video Frame Interpolation for High-FPS Slow Motion Video Generation
by: Ding, Ganggui, et al.
Published: (2026)
by: Ding, Ganggui, et al.
Published: (2026)
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
Video Interpolation with Diffusion Models
by: Jain, Siddhant, et al.
Published: (2024)
by: Jain, Siddhant, et al.
Published: (2024)
MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images
by: Xu, Ziyang, et al.
Published: (2024)
by: Xu, Ziyang, et al.
Published: (2024)
LADDER: An Efficient Framework for Video Frame Interpolation
by: Shen, Tong, et al.
Published: (2024)
by: Shen, Tong, et al.
Published: (2024)
Frame Interpolation with Consecutive Brownian Bridge Diffusion
by: Lyu, Zonglin, et al.
Published: (2024)
by: Lyu, Zonglin, et al.
Published: (2024)
Hierarchical Flow Diffusion for Efficient Frame Interpolation
by: Hai, Yang, et al.
Published: (2025)
by: Hai, Yang, et al.
Published: (2025)
EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation
by: Zheng, Hanle, et al.
Published: (2025)
by: Zheng, Hanle, et al.
Published: (2025)
TLB-VFI: Temporal-Aware Latent Brownian Bridge Diffusion for Video Frame Interpolation
by: Lyu, Zonglin, et al.
Published: (2025)
by: Lyu, Zonglin, et al.
Published: (2025)
TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion
by: Liu, Haoyue, et al.
Published: (2025)
by: Liu, Haoyue, et al.
Published: (2025)
Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolation
by: Liu, Lingyu, et al.
Published: (2026)
by: Liu, Lingyu, et al.
Published: (2026)
GaraMoSt: Parallel Multi-Granularity Motion and Structural Modeling for Efficient Multi-Frame Interpolation in DSA Images
by: Xu, Ziyang, et al.
Published: (2024)
by: Xu, Ziyang, et al.
Published: (2024)
TETO: Tracking Events with Teacher Observation for Motion Estimation and Frame Interpolation
by: Yang, Jini, et al.
Published: (2026)
by: Yang, Jini, et al.
Published: (2026)
VFIMamba: Video Frame Interpolation with State Space Models
by: Zhang, Guozhen, et al.
Published: (2024)
by: Zhang, Guozhen, et al.
Published: (2024)
InterpIoU: Rethinking Bounding Box Regression with Interpolation-Based IoU Optimization
by: Liu, Haoyuan, et al.
Published: (2025)
by: Liu, Haoyuan, et al.
Published: (2025)
Perception-Oriented Video Frame Interpolation via Asymmetric Blending
by: Wu, Guangyang, et al.
Published: (2024)
by: Wu, Guangyang, et al.
Published: (2024)
Investigating Event-Based Cameras for Video Frame Interpolation in Sports
by: Deckyvere, Antoine, et al.
Published: (2024)
by: Deckyvere, Antoine, et al.
Published: (2024)
MiVID: Multi-Strategic Self-Supervision for Video Frame Interpolation using Diffusion Model
by: Srivastava, Priyansh, et al.
Published: (2025)
by: Srivastava, Priyansh, et al.
Published: (2025)
Semantic Frame Interpolation
by: Hong, Yijia, et al.
Published: (2025)
by: Hong, Yijia, et al.
Published: (2025)
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
by: Hur, Junhwa, et al.
Published: (2024)
by: Hur, Junhwa, et al.
Published: (2024)
Similar Items
-
Motion-aware Latent Diffusion Models for Video Frame Interpolation
by: Huang, Zhilin, et al.
Published: (2024) -
Disentangled Motion Modeling for Video Frame Interpolation
by: Lew, Jaihyun, et al.
Published: (2024) -
EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame Interpolation
by: Zhang, Ziran, et al.
Published: (2025) -
Motion-Aware Video Frame Interpolation
by: Han, Pengfei, et al.
Published: (2024) -
Sparse Global Matching for Video Frame Interpolation with Large Motion
by: Liu, Chunxu, et al.
Published: (2024)