Thanks @ducha-aiki.bsky.social for sharing our work, we truly appreciate it! More related links are listed below, and we welcome the community's feedback.
Project Page: depth-anything-3.github.io
Code: github.com/ByteDance-Se...
Hugging Face Demo: huggingface.co/spaces/depth...
Trace Anything: Representing Any Video in 4D via Trajectory Fields
Xinhang Liu, Yuxi Xiao, @donydchen.bsky.social, Jiashi Feng, Yu-Wing Tai, Chi-Keung Tang, Bingyi Kang
arxiv.org/abs/2510.13802
๐ฉ๐ผ๐น๐ฆ๐ฝ๐น๐ฎ๐: ๐ฅ๐ฒ๐๐ต๐ถ๐ป๐ธ๐ถ๐ป๐ด ๐๐ฒ๐ฒ๐ฑ-๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ ๐ฏ๐ ๐๐ฎ๐๐๐๐ถ๐ฎ๐ป ๐ฆ๐ฝ๐น๐ฎ๐๐๐ถ๐ป๐ด ๐๐ถ๐๐ต ๐ฉ๐ผ๐
๐ฒ๐น-๐๐น๐ถ๐ด๐ป๐ฒ๐ฑ ๐ฃ๐ฟ๐ฒ๐ฑ๐ถ๐ฐ๐๐ถ๐ผ๐ป
Weijie Wang, Yeqing Chen, Zeyu Zhang ... Bohan Zhuang
arxiv.org/abs/2509.19297
Trending on www.scholar-inbox.com
๐ฅ๐ฒ๐๐ถ๐๐ถ๐๐ถ๐ป๐ด ๐๐ฒ๐ฝ๐๐ต ๐ฅ๐ฒ๐ฝ๐ฟ๐ฒ๐๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป๐ ๐ณ๐ผ๐ฟ ๐๐ฒ๐ฒ๐ฑ-๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ ๐ฏ๐ ๐๐ฎ๐๐๐๐ถ๐ฎ๐ป ๐ฆ๐ฝ๐น๐ฎ๐๐๐ถ๐ป๐ด
Duochao Shi, Weijie Wang, Donny Y. Chen ... Chunhua Shen
arxiv.org/abs/2506.05327
Trending on www.scholar-inbox.com
Thanks Zhenjun for sharing. Our PM-Loss tackles low geometry quality in feed-forward 3DGS caused by "discontinuity" in predicted depth, and features a plug-and-play training loss that leverages geometry priors from pointmap-based models like VGGT. More at aim-uofa.github.io/PMLoss
Excited to present our #CVPR2025 paper DepthSplat next week!
DepthSplat is a feed-forward model that achieves high-quality Gaussian reconstruction and view synthesis in just 0.6 seconds.
Looking forward to great conversations at the conference!
Thanks Zhenjun for sharing. Our work presents ZPressor, an architecture-agnostic module that enables existing feed-forward #3DGS models to effectively handle dense input views (up to 100 on an 80G GPU), drawing inspiration from the Information Bottleneck principle. More at bsky.app/profile/weij....
Very happy to share donydchen.github.io/mvsplat360/ at #3DV2025 Nectar Track.
