FIND YOUR SELF-ISH

Original Project Date: May 2024
Article Last updated: Dec 2024

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"With a mirror on the wall,
this is how we fall.

Find your self,
be your selfish.

Slices of life, cascade down the everlasting staircase,
only to be persued relentlessly by their very own reflections.

There is life outside,
or is it?

Find your self,
be your selfish.
↓ Movie Poster for "Find your Self-Ish" (2024).

/ / What is Moving Still?

FIND YOUR SELF-ISH is an autobiographical experimental, mixed media animation and AI movie shot in first person. It is exploring themes of internal struggle and distress.The director experiments with cutting-edge AI techniques, to generate visuals which are being morphed with traditional 3D animation, enhancing the visual storytelling in a unique way. The abstract narrative of the movie is driven by sensations of the protagonist, which manifest themselves in visual distortions and an evolving environment. Without dialogue, there is big emphasis on the visual narrative and intra diegetic soundscape. The movie embraces the aesthetics of generative AI, to distort the image in innovative ways and combines this technique with other experimental manipulation methods. This makes the lived experience of the protagonist tangible for the audience. The abstract storytelling and first-person perspective invites the audience to project their own experiences onto the narrative, which opens the movie to a wide range of interpretations. Even the characters are non-specific in their appearance and morph from one AI generated person into another. The stunning visuals are complemented by an atmospheric synth soundtrack.

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Further discomfort arises from the dissonance of different visual elements within a frame. While the camera pans and objects such as trees move, other elements like the ground seem to remain still.

Depending on the viewer's subjective focus, the scenes take on a completely different linear progression and effect, adding a controllable component. Apart from the segmentation maps that control the output images, the influence on the result is left almost entirely to GauGan2, with only minor contrast and saturation adjustments altering the original output.

The strong divergence between video frames (frame consistency) arises directly from the limitations of NVIDIA Research AI's model GauGan2, which was originally designed for creating single images. This 'flaw' is exploited to evoke a feeling of confusion and discomfort in the viewer—though, of course, this is a purely subjective experience. It creates a sharp contrast between the photorealism of the still moments and an undefinable artificiality and control in the film sequence.‍This results in a surreal, abstract pulsation of shapes, edges, and sudden changes in lighting or complete replacement of objects. The image surface is held together solely by the silhouette and composition of its elements.



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