ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Vid

arXiv:2603.18501v1 Announce Type: cross Abstract: Video compression aims to maximize reconstruction quality with minimal bitrates. Beyond standard distortion metrics, perceptual

arXiv:2604.19520v1 Announce Type: new Abstract: Depth pruning improves the deployment efficiency of large language models (LLMs) by identifying and removing redundant layers. A

arXiv:2603.18567v1 Announce Type: cross Abstract: Large language models incur high inference latency due to sequential autoregressive decoding. Speculative decoding alleviates

arXiv:2610.14693v1 Announce Type: new Abstract: Explicit point correspondence is attractive for adapting video generators: it describes how visible surfaces move, but can