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Handi Chen

2 accepted papers

2024

Let the Avatar Talk using Texts without Paired Training Data

ECCV 2024poster

"This paper introduces text-driven talking avatar generation, a task that uses text to instruct both the generation and animation of an avatar. One significant obstacle in this task is the absence of paired text and talking avatar data for model training, limiting data-driven methodologies. To this…

Cited by 0SourcePDFScholar
2023

CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation

NeurIPS 2023poster

Existing methods for adapting Neural Radiance Fields (NeRFs) to scene changes require extensive data capture and model retraining, which is both time-consuming and labor-intensive. In this paper, we tackle the challenge of efficiently adapting NeRFs to real-world scene changes over time using a few…

Cited by 10SourcePDFScholar