{"podcast":{"title":"Daily Paper Cast","slug":"daily-paper-cast-7079649","podcast_index_feed_id":7079649,"rss_url":"https://feeds.transistor.fm/daily-paper-cast-ai","website_url":"https://dailypapercast.transistor.fm/","image_url":"https://img.transistorcdn.com/IxaBeiMluxrMS9W9wB8hFMfmvH27KvwaSMzuhucupn0/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81Zjg1/YzRhODczMDU4MmE4/OGMwN2FiNDlmYzI2/MDliMi5qcGVn.jpg","author":"Jingwen Liang, Gengyu Wang","episode_count":2000,"summary":"We update every weekday to discuss highest-voted papers from Huggingface Daily Paper (https://huggingface.co/papers). Both the podcast scripts and audio are generated by AI. Feedback and suggestions are welcome! Email us: dailypapercast.ai@gmail.com Creator: Jingwen Liang, 3D ML, https://www.linkedin.com/in/jingwen-liang/ Gengyu Wang, LLM ML, http://wanggengyu.com Listen on: Spotify: https://open.spotify.com/show/21nrhmdaA8qoBiH8q03NXL Apple Podcast: https://podcasts.apple.com/us/podcast/daily-paper-cast/id1777620236 Cover Image by Kawen Kuang https://kawen.art","last_synced_at":"2026-09-09T20:18:08.781137+00:00","page_url":"https://stenobird.com/podcast/daily-paper-cast-7079649"},"episode":{"title":"OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation","slug":"omnivae-an-audio-video-vae-with-cross-modal-alignment-for-joint-generation","published_at":"2026-07-29T03:27:29+00:00","page_url":"https://stenobird.com/podcast/daily-paper-cast-7079649/omnivae-an-audio-video-vae-with-cross-modal-alignment-for-joint-generation","show_page_url":"https://stenobird.com/podcast/daily-paper-cast-7079649","url":"https://share.transistor.fm/s/98c800c7","audio_url":"https://media.transistor.fm/98c800c7/9e423cbf.mp3","summary":"🤗 Upvotes: 23 | cs.SD, cs.CV Authors: Jun Zhan, Chen Yang, Yitian Gong, Donghua Yu, Kuangwei Chen, Wenbo Zhang, Kexin Huang, Qi Luo, Zhe Xu, Ying Zhu, Jin Wang, Tengyue Zhang, Qi Chen, Cheng Chang, Songlin Wang, Junqi Dai, Jiasheng Ye, Xiaogui Yang, Tianyi Liang, Xiangyu Peng, Zhaoye Fei, Shimin Li, Qinyuan Cheng, Xie Chen, Xinchi Chen, Xipeng Qiu Title: OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation Arxiv: http://arxiv.org/abs/2607.23855v1 Abstract: Recent generative models are moving beyond silent video or standalone audio synthesis toward the joint generation of synchronized audio and video. Despite this progress, jointly generating audio and video with fine-grained cross-modal correspondence remains challenging due to their fundamental structural differences. Most existing methods use audio and video VAEs trained separately. As a result, the two latent spaces lack cross-modal alignment, leaving the downstream generative model to learn cross-modal synchronization from scratch. We present OmniVAE, a jointly trained audio-video VAE that learns fine-grained semantic alignment between audio and video latent representations. Beyond reconstruction, OmniVAE uses a segment-level audio-video contrastive objective to capture temporal-semantic correspondence and align the two latent spaces. In parallel, it distills features from pretrained modality-specific semantic encoders into each modality, improving the downstream learnability of both latent spaces. Extensive experiments show that both objectives consistently improve the learnability of the latent spaces, translating into higher generation quality and more accurate cross-modal synchronization in downstream text-to-audio-video generation. These findings underscore the importance of learning uni…","meta_description":"🤗 Upvotes: 23 | cs.SD, cs.CV Authors: Jun Zhan, Chen Yang, Yitian Gong, Donghua Yu, Kuangwei Chen, Wenbo Zhang, Kexin Huang, Qi Luo, Zhe Xu, Ying Zhu, Jin…","key_points":[],"chapters":[],"topics":[],"duration_seconds":1204,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/daily-paper-cast-7079649/episodes/omnivae-an-audio-video-vae-with-cross-modal-alignment-for-joint-generation/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/daily-paper-cast-7079649/omnivae-an-audio-video-vae-with-cross-modal-alignment-for-joint-generation.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}