6 citations · 17 across the 16 of their papers we have counts for
16 papers
Thinking on Shots: Consistent Multi-Shot Video Editing with Agentic Reasoning
Chenyang Wu, Fuchen Long, Binyuan Huang +4
While generative AI has significantly advanced video editing, existing methods primarily focus on single-shot or short video clips. Editing long videos with multiple instructions r…
CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing
Fuchen Long, Cong Wang, Zitao Gao +8
The quality and diversity of instruction-based video editing datasets are steadily improving, yet existing datasets mainly focus on single editing operations and fall short in supp…
Region-Constraint In-Context Generation for Instructional Video Editing
Zhongwei Zhang, Fuchen Long, Wei Li +4
The In-context generation paradigm recently has demonstrated strong power in instructional image editing with both data efficiency and synthesis quality. Nevertheless, shaping such…
HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer
Qi Cai, Jingwen Chen, Yang Chen +19
Recent advancements in image generative foundation models have prioritized quality improvements but often at the cost of increased computational complexity and inference latency. T…
MotionPro: A Precise Motion Controller for Image-to-Video Generation
Zhongwei Zhang, Fuchen Long, Zhaofan Qiu +4
Animating images with interactive motion control has garnered popularity for image-to-video (I2V) generation. Modern approaches typically rely on large Gaussian kernels to extend m…
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion
Jingyuan Chen, Fuchen Long, Jie An +4
The first-in-first-out (FIFO) video diffusion, built on a pre-trained text-to-video model, has recently emerged as an effective approach for tuning-free long video generation. This…
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
Zhongwei Zhang, Fuchen Long, Yingwei Pan +4
Recent advances in text-to-video generation have demonstrated the utility of powerful diffusion models. Nevertheless, the problem is not trivial when shaping diffusion models to an…
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
Zhikai Chen, Fuchen Long, Zhaofan Qiu +4
Diffusion models are just at a tipping point for image super-resolution task. Nevertheless, it is not trivial to capitalize on diffusion models for video super-resolution which nec…
VideoStudio: Generating Consistent-Content and Multi-Scene Videos
Fuchen Long, Zhaofan Qiu, Ting Yao +1
The recent innovations and breakthroughs in diffusion models have significantly expanded the possibilities of generating high-quality videos for the given prompts. Most existing wo…
Dynamic Temporal Filtering in Video Models
Fuchen Long, Zhaofan Qiu, Yingwei Pan +3
Video temporal dynamics is conventionally modeled with 3D spatial-temporal kernel or its factorized version comprised of 2D spatial kernel and 1D temporal kernel. The modeling powe…
Bi-Calibration Networks for Weakly-Supervised Video Representation Learning
Fuchen Long, Ting Yao, Zhaofan Qiu +3
The leverage of large volumes of web videos paired with the searched queries or surrounding texts (e.g., title) offers an economic and extensible alternative to supervised video re…
Stand-Alone Inter-Frame Attention in Video Models
Fuchen Long, Zhaofan Qiu, Yingwei Pan +3
Motion, as the uniqueness of a video, has been critical to the development of video understanding models. Modern deep learning models leverage motion by either executing spatio-tem…
Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation
Yingwei Pan, Yehao Li, Yiheng Zhang +5
This paper presents an overview and comparative analysis of our systems designed for the following two tracks in SAPIEN ManiSkill Challenge 2021: No Interaction Track: The No Inter…
Learning to Localize Actions from Moments
Fuchen Long, Ting Yao, Zhaofan Qiu +3
With the knowledge of action moments (i.e., trimmed video clips that each contains an action instance), humans could routinely localize an action temporally in an untrimmed video.…
Gaussian Temporal Awareness Networks for Action Localization
Fuchen Long, Ting Yao, Zhaofan Qiu +3
Temporally localizing actions in a video is a fundamental challenge in video understanding. Most existing approaches have often drawn inspiration from image object detection and ex…
vireoJD-MM at Activity Detection in Extended Videos
Fuchen Long, Qi Cai, Zhaofan Qiu +4
This notebook paper presents an overview and comparative analysis of our system designed for activity detection in extended videos (ActEV-PC) in ActivityNet Challenge 2019. Specifi…