1 citations · 1 across the 8 of their papers we have counts for
10 papers
MVDG: Efficient Multi-view 3D Disambiguation on Unconstrained Real-World Images
Hanyuan Xiao, Gonglin Chen, Haolin Xiong +3
Illusory matches between distinct yet visually similar 3D surfaces--doppelgangers--remain a fundamental obstacle for large-scale, in-the-wild 3D reconstruction and visual localizat…
ICTPolarReal: A Polarized Reflection and Material Dataset of Real World Objects
Jing Yang, Krithika Dharanikota, Emily Jia +2
Accurately modeling how real-world materials reflect light remains a core challenge in inverse rendering, largely due to the scarcity of real measured reflectance data. Existing ap…
DCARL: A Divide-and-Conquer Framework for Autoregressive Long-Trajectory Video Generation
Junyi Ouyang, Wenbin Teng, Gonglin Chen +2
Long-trajectory video generation is a crucial yet challenging task for world modeling primarily due to the limited scalability of existing video diffusion models (VDMs). Autoregres…
Mind-to-Face: Neural-Driven Photorealistic Avatar Synthesis via EEG Decoding
Haolin Xiong, Tianwen Fu, Pratusha Bhuvana Prasad +5
Current expressive avatar systems rely heavily on visual cues, failing when faces are occluded or when emotions remain internal. We present Mind-to-Face, the first framework that d…
ARSS: Taming Decoder-only Autoregressive Visual Generation for View Synthesis From Single View
Wenbin Teng, Gonglin Chen, Haiwei Chen +1
Diffusion models have achieved impressive results in world modeling tasks, including novel view generation from sparse inputs. However, most existing diffusion-based NVS methods ge…
FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation
Wenbin Teng, Gonglin Chen, Haiwei Chen +1
Recent progress in 3D reconstruction has enabled realistic 3D models from dense image captures, yet challenges persist with sparse views, often leading to artifacts in unseen areas…
RDD: Robust Feature Detector and Descriptor using Deformable Transformer
Gonglin Chen, Tianwen Fu, Haiwei Chen +3
As a core step in structure-from-motion and SLAM, robust feature detection and description under challenging scenarios such as significant viewpoint changes remain unresolved despi…
Bringing Diversity from Diffusion Models to Semantic-Guided Face Asset Generation
Yunxuan Cai, Sitao Xiang, Zongjian Li +2
Digital modeling and reconstruction of human faces serve various applications. However, its availability is often hindered by the requirements of data capturing devices, manual lab…
Geometry-Aware Feature Matching for Large-Scale Structure from Motion
Gonglin Chen, Jinsen Wu, Haiwei Chen +5
Establishing consistent and dense correspondences across multiple images is crucial for Structure from Motion (SfM) systems. Significant view changes, such as air-to-ground with ve…
Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting
Haiwei Chen, Yajie Zhao
We present a method for large-mask pluralistic image inpainting based on the generative framework of discrete latent codes. Our method learns latent priors, discretized as tokens,…