2 citations · 3 across the 8 of their papers we have counts for
8 papers
GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay
Yiran Wang, Xingyilang Yin, Junfu Pu +12
Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instruction decomposition, goal planning, and precise action control ove…
CubeComposer: Spatio-Temporal Autoregressive 4K 360° Video Generation from Perspective Video
Lingen Li, Guangzhi Wang, Xiaoyu Li +5
Generating high-quality 360° panoramic videos from perspective input is one of the crucial applications for virtual reality (VR), whereby high-resolution videos are especially impo…
PolarFree: Polarization-based Reflection-free Imaging
Mingde Yao, Menglu Wang, King-Man Tam +3
Reflection removal is challenging due to complex light interactions, where reflections obscure important details and hinder scene understanding. Polarization naturally provides a p…
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning
Jiarui Wu, Yujin Wang, Lingen Li +2
Photo finishing tuning aims to automate the manual tuning process of the photo finishing pipeline, like Adobe Lightroom or Darktable. Previous works either use zeroth-order optimiz…
NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images
Lingen Li, Zhaoyang Zhang, Yaowei Li +7
Recent advancements in generative models have significantly improved novel view synthesis (NVS) from multi-view data. However, existing methods depend on external multi-view alignm…
Uni-ISP: Toward Unifying the Learning of ISPs from Multiple Mobile Cameras
Lingen Li, Mingde Yao, Xingyu Meng +3
Modern end-to-end image signal processors (ISPs) can learn complex mappings from RAW/XYZ data to sRGB (and vice versa), opening new possibilities in image processing. However, the…
Computational Spectral Imaging with Unified Encoding Model: A Comparative Study and Beyond
Xinyuan Liu, Lizhi Wang, Lingen Li +4
Computational spectral imaging is drawing increasing attention owing to the snapshot advantage, and amplitude, phase, and wavelength encoding systems are three types of representat…
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising
Yujin Wang, Lingen Li, Tianfan Xue +1
Image denoising is a fundamental and challenging task in the field of computer vision. Most supervised denoising methods learn to reconstruct clean images from noisy inputs, which…