RealX3D benchmark shows significant performance drop in multi-view visual restoration under physical degradations.

Shuhong Liu, Chenyu Bao, Ziteng Cui et al.

CME-CAD introduces a multi-expert reinforcement learning framework for high-precision CAD code generation, trained on 17,300+ industrial-grade instances.

Ke Niu, Haiyang Yu, Zhuofan Chen et al.

DA360 leverages ViT-based shift learning for scale-invariant panoramic depth estimation, producing high-quality point clouds with seamless boundaries.

Hualie Jiang, Ziyang Song, Zhiqiang Lou et al.

Proposed a monocular depth estimation method using visual autoregressive (VAR) priors, achieving state-of-the-art indoor performance with only 74K samples.

Amir El-Ghoussani, André Kaup, Nassir Navab et al.

Dream-VL and Dream-VLA leverage diffusion language models for breakthroughs in vision-language and vision-language-action tasks.

Jiacheng Ye, Shansan Gong, Jiahui Gao et al.

CoAgent employs a plan-synthesize-verify-edit loop with explicit entity memory, achieving significant improvements in long video coherence and visual consistency, with Subject Consistency at 94.70%.

Qinglin Zeng, Kaitong Cai, Ruiqi Chen et al.

VULCAN uses tool-augmented multi-agent collaboration with recursive backtracking to achieve robust multi-step 3D object arrangement, outperforming baselines.

Zhengfei Kuang, Rui Lin, Long Zhao et al.

Yume-1.5 employs joint spatiotemporal-channel modeling (TSCM) to enable real-time long video generation with improved speed and stability, supporting interactive world creation.

Xiaofeng Mao, Zhen Li, Chuanhao Li et al.

AutoPP integrates unified design, element rendering, and IDPO-based CTR optimization, achieving state-of-the-art automatic product poster generation and online CTR improvement.

Jiahao Fan, Yuxin Qin, Wei Feng et al.

GeCo evaluates geometric consistency in video generation by fusing motion and depth priors to reveal distortions and occlusion inconsistencies.

Leslie Gu, Junhwa Hur, Charles Herrmann et al.

SemanticGen uses a two-stage diffusion framework in semantic space, boosting long video generation speed and quality, with a 30% faster convergence and better long-term consistency.

Jianhong Bai, Xiaoshi Wu, Xintao Wang et al.

This study systematically analyzes video diffusion Transformer (DiT) features for robust point tracking, outperforming ResNet, and introduces DiTracker for efficient zero-shot tracking.

Soowon Son, Honggyu An, Jisu Nam et al.

CRAFT framework improves multimodal text-to-image generation via continuous reasoning and feedback tuning for enhanced accuracy and control.

V. Kovalev, A. Kuvshinov, A. Buzovkin et al.

Introduced OpenBench, a multi-sensor outdoor benchmark, revealing current models' poor generalization in real-world spatial reasoning, with performance gaps highlighted by specific metrics.

Mingrui Wu, Zhaozhi Wang, Fangjinhua Wang et al.

VA-π employs variational policy optimization to align autoregressive image models with pixel distribution, reducing FID from 14.36 to 7.65 with minimal data and time.

Xinyao Liao, Qiyuan He, Kai Xu et al.

StoryMem employs Memory-to-Video (M2V) to convert pretrained single-shot diffusion models into multi-shot storytelling tools, significantly improving cross-shot consistency with 28.7% gain on ST-Bench.

Kaiwen Zhang, Liming Jiang, Angtian Wang et al.

Signal-SGN++ achieves skeleton-based action recognition with topology-enhanced time-frequency spiking graph network, significantly reducing energy consumption.

Naichuan Zheng, Xiahai Lun, Weiyi Li et al.

RadarGen uses latent diffusion to generate realistic automotive radar point clouds from multi-view images, guided by BEV and pretrained models.

Tomer Borreda, Fangqiang Ding, Sanja Fidler et al.

Mitty leverages diffusion transformers for end-to-end human-to-robot video synthesis, achieving state-of-the-art results.

Yiren Song, Cheng Liu, Weijia Mao et al.

Introduces LongShOTBench, a long-video multi-modal reasoning benchmark with rubric-based scoring, evaluating 105 models, with top score of 66.64%.

Mohammed Irfan Kurpath, Jaseel Muhammad Kaithakkodan, Jinxing Zhou et al.