Cover Image

Temporal In-Context Fine-Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Kinam, Hyung, Junha, Choo, Jaegul
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

Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
by: Hyung, Junha, et al.
Published: (2024)

Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models
by: Hwang, Sungwon, et al.
Published: (2025)

EgoX: Egocentric Video Generation from a Single Exocentric Video
by: Kang, Taewoong, et al.
Published: (2025)

InsertAnywhere: Bridging 4D Scene Geometry and Diffusion Models for Realistic Video Object Insertion
by: Jin, Hoiyeong, et al.
Published: (2025)

Infinite-Homography as Robust Conditioning for Camera-Controlled Video Generation
by: Kim, Min-Jung, et al.
Published: (2025)

MagiCapture: High-Resolution Multi-Concept Portrait Customization
by: Hyung, Junha, et al.
Published: (2023)

SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
by: Lee, Jaeseong, et al.
Published: (2024)

TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
by: Kim, Jeongho, et al.
Published: (2024)

Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
by: Song, Junha, et al.
Published: (2024)

Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
by: Hyung, Junha, et al.
Published: (2024)

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models
by: Song, Junha, et al.
Published: (2026)

Good Noise Makes Good Edits: A Training-Free Diffusion-Based Video Editing with Image and Text Prompts
by: Choi, Saemee, et al.
Published: (2025)

RL makes MLLMs see better than SFT
by: Song, Junha, et al.
Published: (2025)

Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
by: Jo, Kyungmin, et al.
Published: (2025)

What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer
by: Chung, Chaeyeon, et al.
Published: (2024)

TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation
by: Kim, Min-Jung, et al.
Published: (2025)

Vector Prism: Animating Vector Graphics by Stratifying Semantic Structure
by: Yun, Jooyeol, et al.
Published: (2025)

Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects
by: Jo, Kyungmin, et al.
Published: (2024)

Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization
by: Yun, Jooyeol, et al.
Published: (2024)

MM-SeR: Multimodal Self-Refinement for Lightweight Image Captioning
by: Song, Junha, et al.
Published: (2025)

Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping
by: Park, Sunghyun, et al.
Published: (2026)

Towards Calibrated Robust Fine-Tuning of Vision-Language Models
by: Oh, Changdae, et al.
Published: (2023)

Enabling Region-Specific Control via Lassos in Point-Based Colorization
by: Lee, Sanghyeon, et al.
Published: (2024)

Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision
by: Kim, Jinhee, et al.
Published: (2024)

SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars
by: Lee, Jaeseong, et al.
Published: (2024)

Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning
by: Qian, Long, et al.
Published: (2024)

Image Diffusion Models Exhibit Emergent Temporal Propagation in Videos
by: Kim, Youngseo, et al.
Published: (2025)

DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models
by: Wu, Ziyi, et al.
Published: (2025)

OPRO: Orthogonal Panel-Relative Operators for Panel-Aware In-Context Image Generation
by: Lee, Sanghyeon, et al.
Published: (2026)

TemporalVLM: Video LLMs for Temporal Reasoning in Long Videos
by: Fateh, Fawad Javed, et al.
Published: (2024)

Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models
by: Zhang, Linghao, et al.
Published: (2026)

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask
by: Kim, Jeongho, et al.
Published: (2024)

Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning
by: Cho, Wonwoo, et al.
Published: (2024)

SphereDiff: Tuning-free 360° Static and Dynamic Panorama Generation via Spherical Latent Representation
by: Park, Minho, et al.
Published: (2025)

GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text
by: Shim, Gyumin, et al.
Published: (2025)

Temporal Contrastive Learning for Video Temporal Reasoning in Large Vision-Language Models
by: Souza, Rafael, et al.
Published: (2024)

Emergent Temporal Correspondences from Video Diffusion Transformers
by: Nam, Jisu, et al.
Published: (2025)

Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
by: Kim, Sungyeon, et al.
Published: (2024)

ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models
by: Ko, Dohwan, et al.
Published: (2025)

TPDiff: Temporal Pyramid Video Diffusion Model
by: Ran, Lingmin, et al.
Published: (2025)