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Chi Huang

5 accepted papers

2026

FaithFusion: Harmonizing Reconstruction and Generation via Pixel-wise Information Gain

CVPR 2026

In controllable driving-scene reconstruction and 3D scene generation, maintaining geometric fidelity while synthesizing visually plausible appearance under large viewpoint shifts is crucial. However, effective fusion of geometry-based 3DGS and appearance-driven diffusion models faces inherent challe

Cited by 0SourceScholar
2026

HFFN-ID: A Hierarchical Feature Fusion Network with Bi-Phase Subject ID Modulation for EEG Mel-Spectrogram Reconstruction

IJCAI 2026

High-fidelity reconstruction of mel-spectrograms from EEG signals remains a formidable challenge, primarily due to the inherent inter-subject variability of neural patterns and the semantic gap between heterogeneous feature representations of these two modalities. To alleviate both issues, this pape

Cited by 0Scholar
2026

UV-RGS: Relightable 3D Gaussian Splatting from Unposed Views Under Varied Illuminations

AAAI 2026technical

The latest advancements in scene relighting have been predominantly driven by inverse rendering with 3D Gaussian Splatting (3DGS). However, existing methods remain overly reliant on precise camera parameters under static illumination conditions, which is prohibitively expensive and even impractical

Cited by 0SourcePDFScholar
2025

SU-RGS: Relightable 3D Gaussian Splatting from Sparse Views under Unconstrained Illuminations

ICCV 2025poster

The latest advancements in scene relighting have been predominantly driven by inverse rendering with 3D Gaussian Splatting (3DGS). However, existing methods remain overly reliant on densely sampled images under static illumination conditions, which is prohibitively expensive and even impractical in…

Cited by 0SourcePDFScholar
2021

Does Head Label Help for Long-Tailed Multi-Label Text Classification

AAAI 2021technical

Multi-label text classification (MLTC) aims to annotate documents with the most relevant labels from a number of candidate labels. In real applications, the distribution of label frequency often exhibits a long tail, i.e., a few labels are associated with a large number of documents (a.k.a. head la…