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Found 6 papers, 1 papers with code
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
Gesture synthesis is a vital realm of human-computer interaction, with wide-ranging applications across various fields like film, robotics, and virtual reality.
BATON: Aligning Text-to-Audio Model with Human Preference Feedback
With the development of AI-Generated Content (AIGC), text-to-audio models are gaining widespread attention.
Freetalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness
To tackle these issues, we introduce FreeTalker, which, to the best of our knowledge, is the first framework for the generation of both spontaneous (e. g., co-speech gesture) and non-spontaneous (e. g., moving around the podium) speaker motions.
Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control
We introduce a novel method that separates priors from speech and employs multimodal priors as constraints for generating gestures.
Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors
However, due to utilizing the case-agnostic rigid strategy, their generalization ability to arbitrary cases and the 3D consistency of reconstruction are still poor.
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
Parameter Efficient Tuning (PET) has gained attention for reducing the number of parameters while maintaining performance and providing better hardware resource savings, but few studies investigate dense prediction tasks and interaction between modalities.
Ranked #2 on
Referring Expression Segmentation
on RefCOCO
