8 papers
DReSG: Diffusion Residuals for Stylized Gaussian Splatting
Zhongliang Liu, Wenjie Liu, Yang Li
Reference-guided stylization of scenes represented by 3D Gaussian Splatting (3DGS) is important for efficient and controllable 3D content creation. Existing VGG-feature-based 3D st…
SegTune: Structured and Fine-Grained Control for Song Generation
Yuejiao Wang, Zihao Ji, Pengfei Cai +6
Recent advances in neural song generation have enabled high-quality synthesis from lyrics and global textual prompts. However, most systems fail to model temporally varying attribu…
NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding
Sijin Yu, Zijiao Chen, Zhenyu Yang +7
Current fMRI decoders face a performance-fidelity trade-off where efficient ID encoders outperform geometrically faithful surface-based models. We argue this is partly driven by in…
SegTune: Structured and Fine-Grained Control for Song Generation
Pengfei Cai, Joanna Wang, Haorui Zheng +6
Recent advancements in song generation have shown promising results in generating songs from lyrics and/or global text prompts. However, most existing systems lack the ability to m…
From Flat to Round: Redefining Brain Decoding with Surface-Based fMRI and Cortex Structure
Sijin Yu, Zijiao Chen, Wenxuan Wu +6
Reconstructing visual stimuli from human brain activity (e.g., fMRI) bridges neuroscience and computer vision by decoding neural representations. However, existing methods often ov…
GT2-GS: Geometry-aware Texture Transfer for Gaussian Splatting
Wenjie Liu, Zhongliang Liu, Junwei Shu +2
Transferring 2D textures onto complex 3D scenes plays a vital role in enhancing the efficiency and controllability of 3D multimedia content creation. However, existing 3D style tra…
ABC-GS: Alignment-Based Controllable Style Transfer for 3D Gaussian Splatting
Wenjie Liu, Zhongliang Liu, Xiaoyan Yang +2
3D scene stylization approaches based on Neural Radiance Fields (NeRF) achieve promising results by optimizing with Nearest Neighbor Feature Matching (NNFM) loss. However, NNFM los…
Multimodal Emotion Recognition with Vision-language Prompting and Modality Dropout
Anbin QI, Zhongliang Liu, Xinyong Zhou +6
In this paper, we present our solution for the Second Multimodal Emotion Recognition Challenge Track 1(MER2024-SEMI). To enhance the accuracy and generalization performance of emot…