1 citations · 3 across the 15 of their papers we have counts for
5 papers · 1 filter
Can Circuit Alignment Predict OOD Generalization?
Ayan Banerjee, Abhra Chaudhuri, Josep Llados +2
Can out-of-distribution (OOD) generalization be predicted from a trained model's weights alone, without any target-domain data? Existing representational similarity metrics (CKA, S…
3D Scene-Adaptive Trajectory-Controllable Human Image Animation with Camera Movement
Deyin Liu, Jicheng Xu, Lin Yuanbo Wu +4
Human image animation, which aims to generate a video of a reference subject following a provided action sequence, has received increasing research interest. With the development o…
Beyond Consistency: Preserving Temporal Structure in Zero-Shot Video Editing
Deyin Liu, Yisheng Ding, Zhe Jin +3
Existing zero-shot video editing methods rely on pre-trained diffusion models, successfully achieving spatial control and basic temporal consistency but fundamentally fail to prese…
ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation
Anindya Mondal, Sauradip Nag, Anjan Dutta
We present ABACUS, a unified vision-language model that jointly addresses object counting, crowd counting, referring-expression counting, and count-faithful image generation within…
RAIGen: Rare Attribute Identification in Text-to-Image Generative Models
Silpa Vadakkeeveetil Sreelatha, Dan Wang, Serge Belongie +2
Text-to-image diffusion models achieve impressive generation quality but inherit and amplify training-data biases, skewing coverage of semantic attributes. Prior work addresses thi…