4 papers
PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards
Minh-Quan Le, Gaurav Mittal, Cheng Zhao +3
Text-to-video (T2V) generation aims to synthesize videos with high visual quality and temporal consistency that are semantically aligned with input text. Reward-based post-training…
Spherical Geometry Diffusion: Generating High-quality 3D Face Geometry via Sphere-anchored Representations
Junyi Zhang, Yiming Wang, Yunhong Lu +5
A fundamental challenge in text-to-3D face generation is achieving high-quality geometry. The core difficulty lies in the arbitrary and intricate distribution of vertices in 3D spa…
OccludeNeRF: Geometric-aware 3D Scene Inpainting with Collaborative Score Distillation in NeRF
Jingyu Shi, Achleshwar Luthra, Jiazhi Li +5
With Neural Radiance Fields (NeRFs) arising as a powerful 3D representation, research has investigated its various downstream tasks, including inpainting NeRFs with 2D images. Desp…
Text Compression for Efficient Language Generation
David Gu, Peter Belcak, Roger Wattenhofer
We challenge the prevailing assumption that LLMs must rely fully on sub-word tokens for high-quality text generation. To this end, we propose the "Generative Pretrained Thoughtform…