RepProbe: Can Video Language Models Count Repeated Actions? A Diagnostic Benchmark
Focuses on RepProbe: Can Video Language Models Count Repeated Actions? A Diagnostic Benchmark.
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Video generation, editing, and video model research. This page collects the latest briefings that match the topic so readers can follow one area without scanning the full feed.
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Focuses on RepProbe: Can Video Language Models Count Repeated Actions? A Diagnostic Benchmark.
Focuses on OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding.
Higgsfield brings creators longer videos with GPT-6 Astra, precise visuals with GPT-Image-2.5, and a path to voice filmmaking with GPT-Live.
Focuses on GAD: Geometry Attention Distillation for Consistent Video Generation.
Focuses on HorizonNav: Geometry-Guided Video Diffusion for Anticipatory 3D Robot Navigation.
Focuses on SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving World Action Models.
Focuses on READ: Reading the Selective Scan for Faithful Video Attribution.
Focuses on Neurons++: A Unified Visual-Stream Framework for Image and Video Reconstruction from fMRI with Neural-to-Visual Interpretability.
Focuses on What 30,000 Hours of Ego-centric Video Does Not Teach.
Focuses on WorldGuide: Goal-Directed Video World Model for Procedural Task Execution.
Focuses on Hybrid Cinematography: Previsualizing and Managing Hallucination Risk in Generative Video Reshooting.
Focuses on LEGO: A Lifting-Free Approach for Exocentric-to-Egocentric Video Generation.
Focuses on OneSearch-VL: Unified Multimodal Deep Research Agent for Image and Video.
Focuses on GRACE: Generation-aware latent compression for efficient video generation.
Focuses on Video-Conditioned Generative Joint 2D-3D Hand Motion Recovery.
Focuses on WorldAlign: Decoupled 4D Reward for World-Consistent Video Generation.
Focuses on MORCA: Offline-to-Online Reinforcement Learning for Adaptive Cache Reuse in Video Diffusion Acceleration.
Focuses on SGF+: Decoupling Gradient Flows for Autoregressive Video Generation.
Focuses on GRACE: Generation-aware latent compression for efficient video generation.
Focuses on Video-Conditioned Generative Joint 2D-3D Hand Motion Recovery.
Focuses on MORCA: Offline-to-Online Reinforcement Learning for Adaptive Cache Reuse in Video Diffusion Acceleration.
Focuses on SGF+: Decoupling Gradient Flows for Autoregressive Video Generation.
Focuses on Real-Time Joint Audio-Video Generation by Parallel Adapter Composition.
Focuses on Video Prediction Policy 2: Predict Better, Act Better.
Focuses on VideoEvolve: Co-Evolving Memory and Retrieval for Long Video Understanding.
Focuses on Beyond Anonymous Captions: Grounding Character Identity in Video Captioning and Question Answering.
Focuses on HeiCo-FOCUS: A Clinically Grounded Dataset for Long-Context Video Understanding.
Focuses on AdSpark: A Large-Scale Dataset and Benchmark for Product-Centric Advertisement Video Generation.
Focuses on Video-to-Model: Automatic Modeling of Deformable Linear Objects.
Focuses on Beyond Masks and Trajectories: Flow-Guided Latent Action Injection for Stable Surgical Video Generation.
Focuses on DynStream: Online Streaming 4D Gaussian Reconstruction of Dynamic Worlds from Unposed Video.
Focuses on YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language Grounding.
Focuses on RLHND: Video Foundation Models as Physically Grounded Hand Trackers for Robot Learning.
Focuses on RobotAPO: Adversarial Physics Preference Optimization for Robotic Manipulation Video Generation.
Focuses on VIS-Ground: Video Interactive Storytelling with Contextual Grounding.
Focuses on RoboRender: Robot-Oriented Video Generation for Visual Sim-to-Real Transfer.