{"total":11,"items":[{"citing_arxiv_id":"2606.21661","ref_index":28,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating","primary_cat":"cs.CV","submitted_at":"2026-06-19T18:06:15+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"UnityShots uses fixed LTM and STM memory slots with boundary-conditioned gating and speaker tokens to achieve coherent multi-shot audio-video generation, leading open-source baselines on cross-shot coherence metrics.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.20799","ref_index":31,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling","primary_cat":"cs.CV","submitted_at":"2026-06-18T18:00:03+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"GroundShot introduces entity-grounded shot scheduling with online visual memory to improve consistency in multi-shot video generation and presents GroundBench for entity-level evaluation.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.13768","ref_index":42,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"CineOrchestra: Unified Entity-Centric Conditioning for Cinematic Video Generation","primary_cat":"cs.CV","submitted_at":"2026-06-11T17:59:10+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"CineOrchestra unifies control of subjects, events, cameras, and shot transitions in cinematic video generation through entity-centric conditioning primitives and parameter-free coordinated rotary embeddings.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.13432","ref_index":84,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"OmniDirector: General Multi-Shot Camera Cloning without Cross-Paired Data","primary_cat":"cs.CV","submitted_at":"2026-06-11T14:58:28+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":6.0,"formal_verification":"none","one_line_summary":"OmniDirector introduces a grid-based camera representation and hierarchical prompt agent for multi-shot camera cloning in video diffusion models trained on million-scale unpaired data.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2606.09639","ref_index":45,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation","primary_cat":"cs.CV","submitted_at":"2026-06-08T15:35:51+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":5.0,"formal_verification":"none","one_line_summary":"Introduces CineDance-1M dataset for multi-shot long-form text-to-audio-video generation along with CineBench and a model adaptation.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.20183","ref_index":39,"ref_count":2,"confidence":0.9,"is_internal_anchor":false,"paper_title":"MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation","primary_cat":"cs.CV","submitted_at":"2026-05-19T17:59:33+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"MSAVBench is the first comprehensive benchmark for multi-shot audio-video generation featuring four dimensions, challenging scenarios, and an adaptive hybrid evaluation framework that achieves 91.5% Spearman correlation with human judgments.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.18739","ref_index":46,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"LongLive-2.0: An NVFP4 Parallel Infrastructure for Long Video Generation","primary_cat":"cs.CV","submitted_at":"2026-05-18T17:57:03+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"LongLive-2.0 delivers an NVFP4 parallel infrastructure that enables direct training of long multi-shot autoregressive diffusion video models and achieves up to 2.15x training and 1.84x inference speedups on Blackwell and other GPUs.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.16003","ref_index":26,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Echo-Forcing: A Scene Memory Framework for Interactive Long Video Generation","primary_cat":"cs.CV","submitted_at":"2026-05-15T14:33:09+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"Echo-Forcing decouples stable anchors, compressed history, and recent dynamics in video diffusion KV caches using hierarchical memory, scene recall frames, and difference-aware decay to support interactive long video generation under bounded cache.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.15199","ref_index":10,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Video Generation","primary_cat":"cs.CV","submitted_at":"2026-05-14T17:59:55+00:00","verdict":"CONDITIONAL","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"EntityBench is a new benchmark with detailed per-shot entity schedules from real media, and the EntityMem baseline using persistent per-entity memory achieves the highest character fidelity with Cohen's d of +2.33.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.14382","ref_index":29,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation","primary_cat":"cs.CV","submitted_at":"2026-05-14T05:06:57+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":4.0,"formal_verification":"none","one_line_summary":"Delta Forcing constrains unreliable teacher supervision in autoregressive video models using an adaptive trust region based on latent trajectory deltas to improve consistency without losing event responsiveness.","context_count":0,"top_context_role":null,"top_context_polarity":null,"context_text":null},{"citing_arxiv_id":"2605.12496","ref_index":30,"ref_count":1,"confidence":0.9,"is_internal_anchor":false,"paper_title":"CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives","primary_cat":"cs.CV","submitted_at":"2026-05-12T17:59:51+00:00","verdict":"UNVERDICTED","verdict_confidence":"LOW","novelty_score":7.0,"formal_verification":"none","one_line_summary":"CausalCine enables real-time causal autoregressive multi-shot video generation via multi-shot training, content-aware memory routing for coherence, and distillation to few-step inference.","context_count":1,"top_context_role":"baseline","top_context_polarity":"baseline","context_text":"HoloCine Bidirectional 0.58420.20500.9728 0.97110.68210.9694 MultiShotMaster Bidirectional 0.5811 0.2046 0.9626 0.9671 0.6530 0.9678 Ours Causal, 4step0.61940.20040.9823 0.97520.66080.9883 Comparisons.We first compare with autoregressive long-video generation methods, including Self-Forcing [17], Infinity-RoPE [52], LongLive [51], MemFlow [21], and ShotStream [30]. These methods extend generation through causal rollout, KV caching, or long-context positional extrapo- lation, but most of them are primarily designed for short-context continuation. As shown in Tab. 1 and Fig. 3, they often produce locally smooth videos that remain semantically static, repeating similar layouts or missing requested shot-level changes."}],"limit":50,"offset":0}