Introduces GPIC, a 28 trillion-pixel large-scale image corpus with permissive licensing, to advance visual generative modeling.

Keshigeyan Chandrasegaran, Kyle Sargent, Suchir Agarwal et al.

SGMD introduces gradient-based pseudo-score distillation with dual potentials, tripling training speed and enhancing motion dynamics in 4-step video diffusion.

Zhuguanyu Wu, Ruihao Gong, Yang Yong et al.

EarlyTom performs early-stage token compression inside the vision encoder, reducing TTFT by 2.65× and FLOPs by 61%, maintaining accuracy.

Hesong Wang, Xin Jin, Lu Lu et al.

GODeform framework leverages geometry-guided feature modeling to achieve significant improvements in monocular 3D shape recovery.

Yiyao Ma, Kai Chen, Zhongxiang Zhou et al.

This paper reexamines FID, revealing its dependence on reference dataset geometry, emphasizing the importance of integrating geometric features for reliable evaluation.

Yunghee Lee, Byeonghyun Pak

Introduces Diffused Geodesic Moments (DGM), excelling on FAUST-Reg and TOSCA datasets.

Zhicheng Du, Changyue Liu, Wenji Xi et al.

NEO-ov, a fully native end-to-end vision-language model, supports multi-image and video understanding with superior fine-grained perception and spatial reasoning.

Haiwen Diao, Jiahao Wang, Penghao Wu et al.

VisualMem introduces a structured visual memory module integrated with text memory, achieving 95% accuracy in personal entity recall, surpassing caption-based methods by over 40%.

Viet Nguyen, Thao Nguyen, Vishal M. Patel et al.

DeGO framework decouples rigid and nonrigid motion, achieving a 13.5% improvement in human-centric instances.

Yang Gao, Wuyang Li, Po-Chien Luan et al.

StayFair ensures group fairness in diffusion models across guidance scales, improving fairness by 8.6%.

Myeongsoo Kim, Eunji Kim, Minwoo Chae et al.

ROVER enhances multi-image reasoning accuracy via object-centric visual evidence routing.

Guannan Lv, Ren Nie, Hongjian Dou et al.

Introduces AndroidDaily benchmark and GRADE evaluator, enabling automatic verification of GUI agents in real-world closed-source apps.

Yifan Sui, Xin Huang, Hongbing Li et al.

STROP improves structural scene representation by learning variable-length visual programs.

Piotr Wyrwiński, Kacper Dobek, Krzysztof Krawiec

LocateAnything uses Parallel Box Decoding and 138M samples to significantly boost visual grounding speed and accuracy.

Shihao Wang, Shilong Liu, Yuanguo Kuang et al.

Representation-conditioned diffusion models using DINO embeddings achieve high-quality, controllable image generation on LSUN and CelebA datasets.

Nithesh Chandher Karthikeyan, Jonas Unger, Gabriel Eilertsen

HydraPrompt employs adaptive asymmetric prompts and contrastive learning to detect synthetic images with 98.8% accuracy, outperforming SOTA.

Senyuan Shi, Hao Tan, Zichang Tan et al.

MIND model achieves 2.06 FID on ImageNet by explicitly modeling data manifold geometry.

Duoduo Xue, Zhiyu Zhu, Junhui Hou

VEOcc uses a voxel-centric framework for online semantic occupancy prediction, excelling on Occ-ScanNet.

Ruoyu Wang, Yong Liu, Sheng Tao et al.

MineC2FNet enhances fine-grained segmentation of mining footprints in multispectral imagery using attentive distillation, significantly improving accuracy.

Alif Tri Handoyo, Vincent C. S. Lee, Rizka Widyarini Purwanto et al.

Proposes Recursive Block-Diagonal Coupling (RBDC) for training wide vision models efficiently, reducing FLOPs by 30% while maintaining accuracy.

Maxim Henry, Adrien Deliège, Sébastien Piérard et al.