1 citations · 2 across the 8 of their papers we have counts for
12 papers
Expression-Diverse References for Identity-Preserving Video Generation
Tianwen Fu, Wenbin Teng, Gonglin Chen +3
Identity-preserving video generation aims to maintain a subject's identity while synthesizing realistic videos. Yet a single reference portrait captures the subject's appearance un…
SearchWorld: Spatial Value-Grounded Imagination for UAV Object Search via World Models
Yatai Ji, Zhengqiu Zhu, Yong Zhao +5
Autonomous unmanned aerial vehicle (UAV) object search involves a closed loop of perception, decision-making, and action under partial observability. Urban environments pose severa…
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…
XDG: Accelerated Visual Disambiguation
Gonglin Chen, Ben Southall, Hanyuan Xiao +8
Visual aliasing, also known as the doppelganger problem, remains a key challenge for structure-from-motion (SfM): visually similar but physically distinct surfaces can produce inco…
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…
Skyeyes: Ground Roaming using Aerial View Images
Zhiyuan Gao, Wenbin Teng, Gonglin Chen +5
Integrating aerial imagery-based scene generation into applications like autonomous driving and gaming enhances realism in 3D environments, but challenges remain in creating detail…
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…
Light Sampling Field and BRDF Representation for Physically-based Neural Rendering
Jing Yang, Hanyuan Xiao, Wenbin Teng +2
Physically-based rendering (PBR) is key for immersive rendering effects used widely in the industry to showcase detailed realistic scenes from computer graphics assets. A well-know…