Search Results for author: Yuze He

Found 7 papers, 4 papers with code

LongAlign: A Recipe for Long Context Alignment of Large Language Models

1 code implementation31 Jan 2024 Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li

Extending large language models to effectively handle long contexts requires instruction fine-tuning on input sequences of similar length.

Instruction Following

Text-Image Conditioned Diffusion for Consistent Text-to-3D Generation

no code implementations19 Dec 2023 Yuze He, Yushi Bai, Matthieu Lin, Jenny Sheng, Yubin Hu, Qi Wang, Yu-Hui Wen, Yong-Jin Liu

By lifting the pre-trained 2D diffusion models into Neural Radiance Fields (NeRFs), text-to-3D generation methods have made great progress.

Text to 3D

MMPI: a Flexible Radiance Field Representation by Multiple Multi-plane Images Blending

no code implementations30 Sep 2023 Yuze He, Peng Wang, Yubin Hu, Wang Zhao, Ran Yi, Yong-Jin Liu, Wenping Wang

In this paper, we explore the potential of MPI and show that MPI can synthesize high-quality novel views of complex scenes with diverse camera distributions and view directions, which are not only limited to simple forward-facing scenes.

Autonomous Driving Novel View Synthesis

O$^2$-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model

1 code implementation18 Aug 2023 Yubin Hu, Sheng Ye, Wang Zhao, Matthieu Lin, Yuze He, Yu-Hui Wen, Ying He, Yong-Jin Liu

In this paper, we propose a novel framework, empowered by a 2D diffusion-based in-painting model, to reconstruct complete surfaces for the hidden parts of objects.

3D Reconstruction Blocking

Learning to compose 6-DoF omnidirectional videos using multi-sphere images

no code implementations10 Mar 2021 Jisheng Li, Yuze He, Yubin Hu, Yuxing Han, Jiangtao Wen

The system utilizes conventional omnidirectional VR camera footage directly without the need for a depth map or segmentation mask, thereby significantly simplifying the overall complexity of the 6-DoF omnidirectional video composition.

Depth Estimation

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