1 citations · 2 across the 6 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.SD2026
SongCraft: Unified Song Generation and Editing with Reconstructive Learning
Haohe Liu, Varun Nagaraja, Gael Le Lan +5
Song generation and editing have mostly been treated as separate tasks. Existing editing methods often require noise injection and regeneration or curated paired training data. We…
cs.CV2026
VLM3: Vision Language Models Are Native 3D Learners
Zhipeng Cai, Zhuang Liu, Yunyang Xiong +3
Vision Language Models (VLMs) enable a unified model to solve various vision tasks through prompting. They have shown promising performance in semantic understanding. However, 3D u…
eess.AS2026
SLAP: Scalable Language-Audio Pretraining with Variable-Duration Audio and Multi-Objective Training
Xinhao Mei, Gael Le Lan, Haohe Liu +5
Contrastive language-audio pretraining (CLAP) has achieved notable success in learning semantically rich audio representations and is widely adopted for various audio-related tasks…