Papers Video Generation
“Video Generation” 태그가 달린 논문 2,911편 · 필터 해제
Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation
We present Vidu S2, which comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing, a real-time video editing model. Moreover, we explore the feasibility of real-time spatial video g…
Instruction FollowingVideo GenerationMask Forcing: Improving Autoregressive Video Diffusion Distillation via Dual-Noise Masking Rollout
Autoregressive (AR) video diffusion models have shown great potential in real-time video generation. Recent methods distill pretrained bidirectional video diffusion models into causal AR students through Distribution Mat…
Video GenerationRoLA: Rotary-Positioned Low-Rank Linear Attention for Efficient Diffusion Transformers
Diffusion Transformers (DiTs) achieve strong video generation quality, but their dense spatiotemporal self-attention scales quadratically with sequence length and quickly becomes the dominant inference bottleneck. Sparse…
Video GenerationMulti-Grid Post-Training for Long-Form Multi-Shot Video Generation
Generating long-form multi-shot videos requires coherent within-shot motion and visually consistent narratives across shots. Existing video generators favor continuous motion and struggle to present complete shot sets wh…
Video GenerationTourPhysics: Bringing Physics to World Models for Exploration and Manipulation from a Single Image
Interactive visual world models must distinguish observation from physical intervention. Camera motion reveals new surfaces, whereas intervention changes object motion, contact, and deformation. Current video world model…
Video GenerationPRISM-Bench: An Audio-Centric Diagnostic Benchmark for Text-to-Audio-Video Generation
Text-to-audio-video (T2AV) generation has advanced rapidly, but its evaluation still underestimates the audio modality. Existing benchmarks either treat audio as an auxiliary component of video quality or assess it in is…
Audio GenerationVideo GenerationReaDiT Guidance: Control for Image and Video Generation using Diffusion Transformer Features
We present DiT Readout (ReaDiT) Guidance, a lightweight framework for controlling generation with Diffusion Transformer (DiT) models via their internal feature representations. ReaDiT Guidance uses features from a single…
Video GenerationThe Attention Triangle in Audio-Video Models
Audio-video diffusion models rely on cross-modal attention to coordinate text, sound, and visual content, yet this same mechanism can introduce subtle and systematic semantic leakage. We study these models by probing and…
Audio GenerationVideo GenerationThe Missing Temporal Link: Temporal Context Routing for Script-Driven Audio-Video Generation
Joint audio-video generation models have made substantial progress in visual quality and audio-visual synchronization. However, they still provide limited control over when shot transitions occur and dialogue is spoken. …
Audio GenerationVideo GenerationDramaChain Bench: An End-to-End Benchmark for Short-Drama Generation
Commercial short-drama production follows a multi-stage chain: script, storyboard, keyframe imagery, shot-level video, and the finished short drama. Most existing benchmarks evaluate solely the video-generation stage usi…
Video GenerationDreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution
Recent video generators often omit audio or synthesize it in a separate stage, limiting reciprocal modeling of visual dynamics and acoustic events. We present DreamX-Creator 1.0, a compact native joint audio-video genera…
Reinforcement LearningVideo GenerationAgenticGen: Reward-Guided Agentic Video Generation for Advertising
Advertising video generation is not only a video synthesis task, but also a product-conditioned reasoning problem whose success is measured by online business metrics. Recent video foundation models can generate realisti…
Video GenerationMatrix-Game 3.5: Enhancing Real-Time Streaming Interactive World Models with Patch Memory
Interactive world models extend video generation from offline clip synthesis toward persistent simulation of interactive virtual worlds, enabling applications in games, robotics, embodied agents, and XR. Achieving stable…
Video GenerationLayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation
Autoregressive video diffusion enables scalable long-video generation by producing chunks from a bounded recent context. While recency-based caching preserves local continuity, it evicts historical cues needed when subje…
Video GenerationHow Far Can 5,500 Hours of Driving Take You? A Scaling Law Analysis of Video Diffusion Models
Video generation for autonomous driving cannot follow the web-scale route: driving data is expensive to collect, bound by privacy requirements, and cannot be scraped at will, so models must make the most of a fixed corpu…
Autonomous DrivingVideo GenerationDensityKV: Density-Guided KV Cache Compression for Long Video Generation
Autoregressive video diffusion models enable streaming generation through sliding-window attention, but each generated block is conditioned on previously generated content, causing appearance and motion errors to propaga…
Video GenerationPAWBench: How Far Are We from Probabilistically Aligned World Modeling?
Recent video generation models are increasingly framed as world models. Many physical processes can unfold in more than one valid way. Therefore, a world model should reproduce not only a plausible trajectory, but also t…
Video GenerationCLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators
State-of-the-art action-conditioned video models are typically restricted to a single robot embodiment, preventing them from leveraging the vast corpus of heterogeneous video data that contains rich signals for learning …
Video GenerationTempJail: Temporal Jailbreak Attacks against Image-to-Video Generation Models
In recent years, image-to-video (I2V) generation models have made remarkable progress in subject consistency and temporal coherence, enabling high quality video synthesis. However, these advances also introduce new safet…
Video GenerationClusterAttention: A training-free speedup of bidirectional attention
This paper introduces ClusterAttention, a general training-free speedup of bidirectional attention layers. Existing sparse attention methods either rely on structure in the input, such as order in language or spatial pro…
Video Generation