ICLR 2025 accepted papers on Video
149 of the 3,703 papers accepted at ICLR 2025 (4.0%) are on Video, compared with 2.0% at ICLR 2024. They fall into 4 topics.
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Topics and papers
Video generation · 82 papers
- CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer (18 citations)
- CameraCtrl: Enabling Camera Control for Video Diffusion Models (16 citations)
- Diffusion Models Are Real-Time Game Engines (5 citations)
- Bridging the Data Provenance Gap Across Text, Speech, and Video (4 citations)
- Real-Time Video Generation with Pyramid Attention Broadcast (4 citations)
- Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model (3 citations)
- Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation (3 citations)
- 4K4DGen: Panoramic 4D Generation at 4K Resolution (2 citations)
- Fantastic Copyrighted Beasts and How (Not) to Generate Them (2 citations)
- GameGen-X: Interactive Open-world Game Video Generation (2 citations)
- OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation (2 citations)
- Pyramidal Flow Matching for Efficient Video Generative Modeling (2 citations)
and 70 more in the interactive map.
Video-language understanding · 48 papers
- World Model on Million-Length Video And Language With Blockwise RingAttention (12 citations)
- One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment (4 citations)
- Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos (3 citations)
- Dense Video Object Captioning from Disjoint Supervision (2 citations)
- GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding (2 citations)
- LongVILA: Scaling Long-Context Visual Language Models for Long Videos (1 citation)
- MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos (1 citation)
- Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution (1 citation)
- Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge (1 citation)
- TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning (1 citation)
- TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models (1 citation)
- Aligned Better, Listen Better for Audio-Visual Large Language Models
and 36 more in the interactive map.
Video segmentation and tracking · 13 papers
- SAM 2: Segment Anything in Images and Videos (264 citations)
- VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning (1 citation)
- BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
- Depth Any Video with Scalable Synthetic Data
- Dreamweaver: Learning Compositional World Models from Pixels
- Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
- EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos
- Learning Spatial-Semantic Features for Robust Video Object Segmentation
- SMITE: Segment Me In TimE
- Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity
- Local Patterns Generalize Better for Novel Anomalies
- PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos
and 1 more in the interactive map.
Action recognition · 6 papers
- ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
- Grounding Video Models to Actions through Goal Conditioned Exploration
- Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos
- Video Action Differencing
- Action Sequence Augmentation for Action Anticipation
- Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer
