Tag
This paper presents JoyAI-Echo-1.5, a unified audio-visual generation system for long-form video and interactive worlds, using cross-shot memory and geometry-aware control to maintain coherence and persistence.
ViSAGE is a multimodal agentic memory framework for long-form video understanding that builds self-correcting, entity-centric memories via cross-modal binding, bidirectional memory refinement, and multi-agent cross-verification, achieving 5.9% higher accuracy than baselines.
ByteDance Seed officially launches Seedance 2.5, a new-generation video creation model with 30-second single-pass generation, multi-round extensions, multimodal referencing, and precise editing capabilities, now rolling out on Jimeng AI and Doubao Pro.
LiteFrame introduces a highly efficient video encoder for Video LLMs that uses Compressed Token Distillation to enable up to 8x more frames and 35% latency reduction while maintaining accuracy, setting a new Pareto frontier for long-form video understanding.
LiteFrame proposes a lightweight video encoder with Compressed Token Distillation training that reduces latency and enables processing 8x more frames for long-form video understanding in Video LLMs, improving accuracy while reducing compute.
This paper introduces OmniScript, an 8B-parameter omni-modal (audio-visual) language model for a novel video-to-script (V2S) task that generates hierarchical, scene-by-scene scripts from long-form cinematic videos. Trained via progressive pipeline techniques including chain-of-thought SFT and reinforcement learning with temporally segmented rewards, OmniScript outperforms larger open-source models and rivals proprietary models like Gemini 3-Pro.