6 citations · 11 across the 17 of their papers we have counts for
5 papers · 1 filter
MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection
Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang +3
In this paper, we address the challenging modality-agnostic semantic segmentation (MaSS), aiming at centering the value of every modality at every feature granularity. Training wit…
Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation
Xu Zheng, Haiwei Xue, Jialei Chen +6
Simultaneously using multimodal inputs from multiple sensors to train segmentors is intuitively advantageous but practically challenging. A key challenge is unimodal bias, where mu…
G-NeLF: Memory- and Data-Efficient Hybrid Neural Light Field for Novel View Synthesis
Lutao Jiang, Lin Wang
Following the burgeoning interest in implicit neural representation, Neural Light Field (NeLF) has been introduced to predict the color of a ray directly. Unlike Neural Radiance Fi…
A General Framework to Boost 3D GS Initialization for Text-to-3D Generation by Lexical Richness
Lutao Jiang, Hangyu Li, Lin Wang
Text-to-3D content creation has recently received much attention, especially with the prevalence of 3D Gaussians Splatting. In general, GS-based methods comprise two key stages: in…
BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis
Lutao Jiang, Xu Zheng, Yuanhuiyi Lyu +2
Text-to-3D synthesis has recently seen intriguing advances by combining the text-to-image priors with 3D representation methods, e.g., 3D Gaussian Splatting (3D GS), via Score Dist…