Some fans are speculating a Dead Space 2 remake to come in the future, but we will have to wait and see. We won't go too far into detail here, but it's a story well worth getting invested in, and this new remake and sequel bundle is the perfect opportunity to do so. (Picture: EA) Dead Space 2 and Possible Remakesĭead Space 2 is set three years after the events of Dead Space and sees us join Isaac Clarke once again as he fights off hordes of Necromorphs and a mental illness he developed due to the events of the first game. To get Dead Space 2 for free, players simply need to preorder the upcoming Dead Space remake on Steam. And for those who haven't played Dead Space 2 or want to revisit the title after its release in 2011, it's well worth the pre-order. This is a unique bonus for PC players on Steam, as other platforms, such as the Epic Games Store, do not offer this bundle when pre-ordering the game. All you need to do is pre-order the new remake on Steam before its release on the 27th of January, and you'll automatically get the sequel added to your cart. Getting Dead Space 2 bundled with your purchase of the Dead Space remake is fairly simple.
Same perspective warping to render high-quality images on two standard datasetsĪnd a new free trajectory dataset collected by us.How to Get Dead Space 2 for Free on Steam Extensive experiments demonstrate that F2-NeRF is able to use the Which allows us to handle arbitrary trajectories in the grid-based NeRFįramework. We further propose a novel space-warping method called perspective warping, Mechanism of space warping to handle unbounded scenes. Existing fast grid-based NeRF trainingįrameworks, like Instant-NGP, Plenoxels, DVGO, or TensoRF, are mainly designedįor bounded scenes and rely on space warping to handle unbounded scenes.Įxisting two widely-used space-warping methods are only designed for theįorward-facing trajectory or the 360-degree object-centric trajectory butĬannot process arbitrary trajectories. Download a PDF of the paper titled F$^$-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories, by Peng Wang and 7 other authors Download PDF Abstract: This paper presents a novel grid-based NeRF called F2-NeRF (Fast-Free-NeRF)įor novel view synthesis, which enables arbitrary input camera trajectories and
0 kommentar(er)
