2 citations · 3 across the 4 of their papers we have counts for
4 papers
IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination
Xi Chen, Sida Peng, Dongchen Yang +4
This paper aims to recover object materials from posed images captured under an unknown static lighting condition. Recent methods solve this task by optimizing material parameters…
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models
Bowen Pan, Yikang Shen, Haokun Liu +5
Mixture-of-Experts (MoE) language models can reduce computational costs by 2-4 compared to dense models without sacrificing performance, making them more efficient in compu…
HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World
Xin Wang, Taein Kwon, Mahdi Rad +9
Building an interactive AI assistant that can perceive, reason, and collaborate with humans in the real world has been a long-standing pursuit in the AI community. This work is par…
Head3D: Complete 3D Head Generation via Tri-plane Feature Distillation
Yuhao Cheng, Yichao Yan, Wenhan Zhu +3
Head generation with diverse identities is an important task in computer vision and computer graphics, widely used in multimedia applications. However, current full head generation…