RELIC: Interactive Video World Model with Long-Horizon Memory (Dec 2025)
Автор: AI Papers Slop
Загружено: 2025-12-04
Просмотров: 34
Описание:
Title: RELIC: Interactive Video World Model with Long-Horizon Memory (Dec 2025)
Link: http://arxiv.org/abs/2512.04040v1
Date: December 2025
Summary:
This paper presents RELIC, a 14B-parameter interactive video world model designed for real-time, long-horizon exploration of virtual scenes. Addressing the trade-off between speed and memory in existing models, RELIC utilizes a compressed spatial memory mechanism within the KV cache to maintain 3D consistency over long durations (up to 20 seconds) without explicit geometric representations. The model is trained using a novel distillation framework that adapts a long-context bidirectional teacher into a causal student via a memory-efficient "replayed back-propagation" technique. RELIC achieves 16 FPS generation on 4 H100 GPUs while demonstrating precise action control and robust retrieval of previously seen content.
Key Topics:
Interactive World Models
Video Generation
Autoregressive Diffusion
Long-Horizon Memory
Spatial Consistency
Model Distillation
Chapters:
00:00 - RELIC Overview and Goals
01:23 - The Performance-Memory Conflict
03:17 - Compressed Spatial Memory Architecture
05:12 - Long-Horizon Teacher Training
06:10 - Synthetic Data Strategy
07:38 - Dual Conditioning and Augmentation
08:40 - Student Model Distillation
09:47 - Replayed Back-Propagation
11:03 - Hardware Optimization
11:38 - Benchmarks and Visual Quality
12:25 - Spatial Consistency Demo
13:35 - Limitations and Future Outlook
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