Wolf: Captioning Everything with a World Summarization Framework
Paper
•
2407.18908
•
Published
•
32
Video understanding
-
-
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 • 98 -
Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models
Paper • 2510.05034 • Published • 48 -
Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
Paper • 2510.20579 • Published • 55 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 7 -
Video-Thinker: Sparking "Thinking with Videos" via Reinforcement Learning
Paper • 2510.23473 • Published • 84 -
Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark
Paper • 2510.26802 • Published • 33 -
Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks
Paper • 2511.15065 • Published • 74 -
V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models
Paper • 2511.16668 • Published • 53 -
In-Video Instructions: Visual Signals as Generative Control
Paper • 2511.19401 • Published • 29 -
InternVideo-Next: Towards General Video Foundation Models without Video-Text Supervision
Paper • 2512.01342 • Published • 14 -
ViDiC: Video Difference Captioning
Paper • 2512.03405 • Published • 24