Wolf: Captioning Everything with a World Summarization Framework
Paper
• 2407.18908 • Published
• 32
Video understanding
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Mixture of Nested Experts: Adaptive Processing of Visual Tokens
Paper • 2407.19985 • Published • 37 -
TPDiff: Temporal Pyramid Video Diffusion Model
Paper • 2503.09566 • Published • 45 -
DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO
Paper • 2506.07464 • Published • 14 -
Video models are zero-shot learners and reasoners
Paper • 2509.20328 • Published • 100 -
Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models
Paper • 2510.05034 • Published • 51 -
Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
Paper • 2510.20579 • Published • 56 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 8 -
Video-Thinker: Sparking "Thinking with Videos" via Reinforcement Learning
Paper • 2510.23473 • Published • 85 -
Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark
Paper • 2510.26802 • Published • 34 -
Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks
Paper • 2511.15065 • Published • 77 -
V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models
Paper • 2511.16668 • Published • 55 -
In-Video Instructions: Visual Signals as Generative Control
Paper • 2511.19401 • Published • 32 -
InternVideo-Next: Towards General Video Foundation Models without Video-Text Supervision
Paper • 2512.01342 • Published • 18 -
ViDiC: Video Difference Captioning
Paper • 2512.03405 • Published • 28 -
Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching Distillation
Paper • 2512.04678 • Published • 42 -
Evaluating Gemini Robotics Policies in a Veo World Simulator
Paper • 2512.10675 • Published • 20 -
SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning
Paper • 2512.13874 • Published • 17 -
End-to-End Training for Autoregressive Video Diffusion via Self-Resampling
Paper • 2512.15702 • Published • 16 -
Kling-Omni Technical Report
Paper • 2512.16776 • Published • 170 -
SemanticGen: Video Generation in Semantic Space
Paper • 2512.20619 • Published • 93 -
LongVideoAgent: Multi-Agent Reasoning with Long Videos
Paper • 2512.20618 • Published • 55 -
Learning from Next-Frame Prediction: Autoregressive Video Modeling Encodes Effective Representations
Paper • 2512.21004 • Published • 13 -
Inference-time Physics Alignment of Video Generative Models with Latent World Models
Paper • 2601.10553 • Published • 12 -
Rethinking Video Generation Model for the Embodied World
Paper • 2601.15282 • Published • 43 -
Self-Refining Video Sampling
Paper • 2601.18577 • Published • 25 -
RISE-Video: Can Video Generators Decode Implicit World Rules?
Paper • 2602.05986 • Published • 26 -
Learning Humanoid End-Effector Control for Open-Vocabulary Visual Loco-Manipulation
Paper • 2602.16705 • Published • 26 -
RynnBrain: Open Embodied Foundation Models
Paper • 2602.14979 • Published • 42 -
A Very Big Video Reasoning Suite
Paper • 2602.20159 • Published • 494