2 citations · 2 across the 7 of their papers we have counts for
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Super-Resolving Unseen Hyperspectral Sensors at Any Scale via Spatial Operators
Ji-Xuan He, Guohang Zhuang, Bo Junge +6
Achieving cross-sensor generalization and arbitrary-scale reconstruction with a single model remains challenging in hyperspectral super-resolution (HSR). Although recent methods su…
WorldSculpt: Generating Compositional Worlds from Grounded Videos
Muyao Niu, Jixuan He, Ruihan Yu +9
We study the problem of generating a compositional 3D representation of a cluttered scene containing hundreds of objects. The goal is to represent the scene as a collection of indi…
Reasmory: 3D Reconstruction as Explicit Memory for VLMs Spatial Reasoning
Jixuan He, Xueting Li, Chieh Hubert Lin +1
Vision-Language Models (VLMs) exhibit emerging spatial reasoning capabilities, yet they remain unreliable on tasks requiring precise spatial understanding, such as viewpoint reason…
Dual-Path Learning based on Frequency Structural Decoupling and Regional-Aware Fusion for Low-Light Image Super-Resolution
Ji-Xuan He, Jia-Cheng Zhao, Feng-Qi Cui +5
Low-light image super-resolution (LLISR) is essential for restoring fine visual details and perceptual quality under insufficient illumination conditions with ubiquitous low-resolu…
Correcting Spectra Outside the Backbone: A Model-Agnostic Rectifier for Hyperspectral Image Super-Resolution
Ji-Xuan He, Guohang Zhuang, Junge Bo +6
Hyperspectral image super-resolution (HSI-SR) aims to recover spatial detail while preserving the spectral shape on which quantitative analysis relies. Recent HSI-SR methods, from…
Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video
Jixuan He, Chieh Hubert Lin, Lu Qi +1
Creating deformable 3D content has gained increasing attention with the rise of text-to-image and image-to-video generative models. While these models provide rich semantic priors…
Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion
Jixuan He, Wanhua Li, Ye Liu +3
As a common image editing operation, image composition involves integrating foreground objects into background scenes. In this paper, we expand the application of the concept of Af…
-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
Ye Liu, Jixuan He, Wanhua Li +4
Video temporal grounding (VTG) is a fine-grained video understanding problem that aims to ground relevant clips in untrimmed videos given natural language queries. Most existing VT…