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20212026
most citedRepurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation

1 citations · 3 across the 16 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Adapting Vision Foundation Models to Acoustics for Pose-Free 3D Sonar Reconstruction

Kevin Zhang, Jingxi Chen, Mohamad Qadri +5

Vision foundation models trained on Internet-scale RGB datasets enable remarkable capabilities across a range of tasks, from text-to-video generation to few-shot 3D scene reconstru…

cs.CV2025

From Inpainting to Layer Decomposition: Repurposing Generative Inpainting Models for Image Layer Decomposition

Jingxi Chen, Yixiao Zhang, Xiaoye Qian +4

Images can be viewed as layered compositions, foreground objects over background, with potential occlusions. This layered representation enables independent editing of elements, of…

cs.CV2025

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models

Xiyang Wu, Zongxia Li, Jihui Jin +7

Vision Language Models (VLMs) perform well on standard video tasks but struggle with physics-related reasoning involving motion dynamics and spatial interactions. We present a nove…

cs.CV2025

First Frame Is the Place to Go for Video Content Customization

Jingxi Chen, Zongxia Li, Zhichao Liu +6

What role does the first frame play in video generation models? Traditionally, it's viewed as the spatial-temporal starting point of a video, merely a seed for subsequent animation…

cs.CV2024

Learning Normal Flow Directly From Event Neighborhoods

Dehao Yuan, Levi Burner, Jiayi Wu +4

Event-based motion field estimation is an important task. However, current optical flow methods face challenges: learning-based approaches, often frame-based and relying on CNNs, l…

cs.CV2024★ 1 cited

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation

Jingxi Chen, Brandon Y. Feng, Haoming Cai +6

Video Frame Interpolation aims to recover realistic missing frames between observed frames, generating a high-frame-rate video from a low-frame-rate video. However, without additio…

cs.CV2024

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras

Sachin Shah, Matthew Albert Chan, Haoming Cai +5

Point-spread-function (PSF) engineering is a well-established computational imaging technique that uses phase masks and other optical elements to embed extra information (e.g., dep…

cs.CV2024★ 1 cited

TimeRewind: Rewinding Time with Image-and-Events Video Diffusion

Jingxi Chen, Brandon Y. Feng, Haoming Cai +4

This paper addresses the novel challenge of ``rewinding'' time from a single captured image to recover the fleeting moments missed just before the shutter button is pressed. This p…