Introduces Image Reconstruction Game benchmark showing describer model dominates reconstruction quality in multi-turn VLM-generator dialogue, with math images hardest and token budget affecting convergence.
Lawrence and Parikh, Devi and Batra, Dhruv , year =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2verdicts
UNVERDICTED 2representative citing papers
DragNUWA integrates text, image, and trajectory controls into a diffusion video model using a Trajectory Sampler, Multiscale Fusion, and Adaptive Training to enable fine-grained open-domain video generation.
citing papers explorer
-
The Image Reconstruction Game: Drawing Common Ground Through Iterative Multimodal Dialogue
Introduces Image Reconstruction Game benchmark showing describer model dominates reconstruction quality in multi-turn VLM-generator dialogue, with math images hardest and token budget affecting convergence.
-
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
DragNUWA integrates text, image, and trajectory controls into a diffusion video model using a Trajectory Sampler, Multiscale Fusion, and Adaptive Training to enable fine-grained open-domain video generation.