Zobrazeno 1 - 10
of 132
pro vyhledávání: '"CHRISTIE, MARC"'
Recent advances in text-conditioned video diffusion have greatly improved video quality. However, these methods offer limited or sometimes no control to users on camera aspects, including dynamic camera motion, zoom, distorted lens and focus shifts.
Externí odkaz:
http://arxiv.org/abs/2412.14158
Autor:
Baert, Kelian, Bharadwaj, Shrisha, Castan, Fabien, Maujean, Benoit, Christie, Marc, Abrevaya, Victoria, Boukhayma, Adnane
Publikováno v:
SIGGRAPH Asia 2024 Conference Papers (SA Conference Papers '24), December 3-6, 2024, Tokyo, Japan
Feedforward monocular face capture methods seek to reconstruct posed faces from a single image of a person. Current state of the art approaches have the ability to regress parametric 3D face models in real-time across a wide range of identities, ligh
Externí odkaz:
http://arxiv.org/abs/2409.07984
Stories and emotions in movies emerge through the effect of well-thought-out directing decisions, in particular camera placement and movement over time. Crafting compelling camera trajectories remains a complex iterative process, even for skilful art
Externí odkaz:
http://arxiv.org/abs/2407.01516
Designing effective camera trajectories in virtual 3D environments is a challenging task even for experienced animators. Despite an elaborate film grammar, forged through years of experience, that enables the specification of camera motions through c
Externí odkaz:
http://arxiv.org/abs/2402.16143
Neural Radiance Fields (NeRFs) have revolutionized scene novel view synthesis, offering visually realistic, precise, and robust implicit reconstructions. While recent approaches enable NeRF editing, such as object removal, 3D shape modification, or m
Externí odkaz:
http://arxiv.org/abs/2309.03933
This paper presents JAWS, an optimization-driven approach that achieves the robust transfer of visual cinematic features from a reference in-the-wild video clip to a newly generated clip. To this end, we rely on an implicit-neural-representation (INR
Externí odkaz:
http://arxiv.org/abs/2303.15427
In the process of making a movie, directors constantly care about where the spectator will look on the screen. Shot composition, framing, camera movements or editing are tools commonly used to direct attention. In order to provide a quantitative anal
Externí odkaz:
http://arxiv.org/abs/2102.13378
Publikováno v:
In Computers & Graphics August 2023 114:150-157
Recent advances in deep learning have pushed the performances of visual saliency models way further than it has ever been. Numerous models in the literature present new ways to design neural networks, to arrange gaze pattern data, or to extract as mu
Externí odkaz:
http://arxiv.org/abs/1907.02336